AIRI-Institute/eco4cast (16★) — eco4cast library aims to reduce carbon footprint of machine learning models with predictive cloud computing scheduling


Avelero/Avelero_HydroCarbon (4★) — Lightweight model for automated carbon and water footprint estimation using machine learning


zero010010/Usin-ML-to-predict-Carbon-FootPrint- (2★) — Using Machine Learning to Predict Carbon Foot Print


lokenderpratap8-sketch/Carbon-Footprint-ML (2★) — AI-powered Carbon Footprint Prediction and Recommendation System using Machine Learning, Flask, and Scikit-Learn.


atharvchaudhari2907-code/CarbonQuest (0★) — AI Sustainability Assistant is a smart web platform that analyzes lifestyle data to calculate carbon footprint and suggests personalized eco-friendly actions. The system combines web development, data


ksm26/Carbon-Aware-Computing-for-GenAI-Developers (9★) — Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the c


Gurpreet0022/CarbonFootprint (0★) — Machine learning based carbon footprint predictor webapp


Mayowa1012/Carbon-Footprint-Prediction (2★) — This Project analyses the carbon footprint of the U.S. commercial sector using three machine learning models. A combination of energy consumption data and carbon dioxide emission data was used to achi


tanayshandilya/Carbon-Footprint-Monitoring-System (2★) — The project aims to provide a statistical data of carbon emission from vehicles, and using the data science tools and machine learning to provide future usage limitations of vehicles to reduce carbon


JellyBeansXO/CarbonFootprintEmission (0★) — Machine Learning model for tracking carbon footprint emission


mounicauddagiri/Carbon_footprints (0★) — machine learning model for Carbon footprints


Mazid2003/Carbon-Footprint-Estimator-using-Machine-Learning (1★) — This project aims to predict the carbon footprint of various activities and evaluate the prediction accuracy using the R² score. The project involves a data processing pipeline where actual carbon foo


Kwabena-A/Carbon-Footprint (0★) — Predicting carbon footprint based on the best preforming machine learning model


yugh88/Carbon-Footprint-Calculator_App (0★) — Blockchain and Machine Learning Based Carbon Footprint Calculator


dakshesh-1293/carbon-footprint-predictor (1★) — ML-based personal carbon footprint predictor using Streamlit and machine learning.


vamshiiyer/ai-carbon-footprint-sustainability-advisor (0★) — AI-based sustainability advisor using machine learning


krishiv-dev07/EcoFootprint-Analyzer (0★) — Machine Learning and GenAI based Carbon Footprint Estimation System


guan404ming/carbon-footprint-reporting (0★) — [ICML 2026] Position: Carbon Footprint Reporting Should Be Routine in Machine Learning Research


aarti-paridwal/AI_Carbon_Footprint_Predictor (0★) — Machine Learning model to predict Carbon Footprint using Linear Regression.


ViivianREINE/Carbon-Footprint-Calculator-using-Advanced-Machine-Learning-CNN- (0★) — 🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifest


ridhis110/carbon-footprint-fashion-ml (0★) —  Estimate carbon footprint in the fashion supply chain using machine learning


ElizavetaBugaeva/Emissions_estimator (0★) — Corporate Carbon Footprint Estimations using Machine Learning


CyrilBaah/carboncue (1★) — Carbon-aware computing tools for sustainable software development: Python SDK, CLI, and GitHub Action with multi-cloud support and real-time carbon intensity data.


saintslab/carbontracker (479★) — Track and predict the energy consumption and carbon footprint of training deep learning models.


mlco2/codecarbon (1877★) — Track emissions from Compute and recommend ways to reduce their impact on the environment.


juanjoowendler/CO-Emissions-Tracking-for-Ollama-AI-using-CodeCarbon (2★) — Python tool that measures energy consumption and CO₂ emissions generated by the execution of code generated with artificial intelligence.


alexhroom/pytest-codecarbon (0★) — Pytest plugin for tracking carbon emissions


florisvdf/ai-environmental-impact (6★) — Mini workshop to provide a peak of what’s happening under the hood of models currently at the frontier of the AI revolution, and about how we can track the emissions of our own code.


COLuciana/CodeCarbon.jl (0★) — Unofficial Julia wrapper of the Python library codecarbon for tracking emissions from compute.


Gaurav-Van/Exploring-CodeCarbon (0★) — Diving into the world of Tracking CO2 Emissions from our software or code.  Code Carbon is a lightweight open-source Python Library that lets you track the Co2 emissions produced by running code.


managerbanneaaya/Carbon_Tracker (1★) — CodeCarbon is a lightweight Python library that tracks the energy consumption and carbon emissions of a Python program.


Aswathy-K/SparseGPT-INT8-Quantization-CodeCarbon (0★) — This notebook implements:  SparseGPT (Frantar & Alistarh, 2023) — Hessian-guided one-shot pruning INT8 Quantization — post-pruning absmax symmetric quantization CodeCarbon — CO₂ emission tracking for


albertovalerio/sustainability-of-recsys (0★) — The system tracks the emissions of a given recommendation algorithm on a given dataset.


ajita07/Carbon-Efficient-Chatbot (0★) — 🌱 A Flask-based chatbot powered by Groq API with real-time carbon emission tracking using CodeCarbon. Deployed on Render.


sukanya-lahkar/green-ml-experiments (0★) — A reproducible project comparing CodeCarbon and CarbonTracker on Keras ML workloads. Tracks energy consumption, carbon emissions, and model performance across computer vision, NLP, structured, time se


izzulroslan/GreenModel-AI-Carbon-Emission-Tracker (0★) — GreenModel: AI Carbon Emission Tracker is a user-friendly Streamlit platform that helps users train machine learning models while tracking their carbon emissions in real time. It promotes sustainable


riddhiijoshi/e-commerce-Green-Software-Development (0★) — The application integrates the CodeCarbon library to track the carbon emissions associated with the online shopping activities. This enables users to gain insights into the environmental impact of the


manojs15/carbon-footprint (0★) — Calculate and track your project's carbon footprint on GitHub using tools like "GHG" or "CodeCarbon" to estimate greenhouse gas emissions from code contributions, promoting environmental awareness and


bonjourdave/ml-pipeline-project (0★) — This project is to design end-to-end MLOps pipeline predicting CrossFit athlete total lift using Airflow for orchestration, MLFlow for experiment tracking, Feast for feature management, and CodeCarbon


RohitSah13/Eco-Ops-Green-Computing-Analytics- (0★) — Eco-Ops is a carbon-aware ML framework that tracks energy usage and CO₂ emissions during model training. It uses CodeCarbon and Streamlit to provide benchmarking, visualization, and sustainability ana


051188-rk/GreenML (1★) — GreenML Dashboard is a sustainable AI project that predicts household appliance energy consumption using machine learning and environmental sensor data. It integrates CodeCarbon to track CO₂ emissions


Rohan-Excelr/AutoML-Green-Model-Selector (0★) — EcoML is a green AutoML pipeline that selects optimal ML models using Optuna and tracks carbon emissions via CodeCarbon. It balances model performance with environmental impact. Final model: Logistic


Vanshini04/AI-for-the-AI (0★) —  AI-powered dashboard that tracks and predicts carbon emissions from computing tasks. Built with Streamlit, Scikit-learn, and CodeCarbon, it suggests eco-friendly schedules using real-time grid data.


sb-ai-lab/Eco2AI (276★) — eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.


justlab-ai/eco2ai-backend (0★) — eco2ai backend


andvarfolomeev/Eco2AI-playground (0★) — Server side application to receive and storage data of Eco2ai library


danieleschmidt/hf-eco2ai-plugin (1★) — A Hugging Face Trainer callback that logs CO₂, kWh, and regional grid intensity for every epoch. Built on Eco2AI's strong energy tracking.


tomlouismurphy/velocityTracker (0★) — Experiment to check impact of fastball velocity on MLB starting pitchers throughout their games


Aqui001/Web-Dev-Journey-From-Zero-to-Impact- (2★) — Hi there! 👋 I'm Aquilo-Dominic, diving headfirst into web development with loads of excitement and hope to make a difference. This repo tracks my learning journey – experiments, projects, wins, and le


2236117534/Experimental-data-sharing- (0★) — The data supports the study "A Comparative Investigation into the Impact of Directionality on Human Translation and Post-Editing Effort: An Eye Tracking and Keylogging Experiment involving Student Tra


2236117534/Analysis-Code-and-Experimental-Materials (0★) — The data supports the study : "A Comparative Investigation into the Impact of Directionality on Human Translation and Post-Editing Effort: An Eye Tracking and Keylogging Experiment involving Student T


moeghashim/10x-shot (0★) — Tracking the real-world impact of AI on productivity across live experiments, tools, and systems behind 10claws.


varsha199/Vanguard-Digital-Redesign-Impact-Study (0★) — Analysis of Vanguard’s A/B test measuring the impact of a redesigned digital interface with in-context prompts on client process completion rates. Includes data cleaning, EDA, KPI tracking, hypothesis


cagriertem/eye-tracking-experiment (0★) — By conducting an eye-tracking experiment, we test the impact of Gestalt properties in photographic arts. Heat maps that were derived via raw eye-tracking data were used to predict the categories of th


Surfab/product-discovery-canvas (1★) — Interactive Product Discovery Canvas with Impact/Effort Matrix, Assumption Validation, Experiment Tracking and Visual Traceability. Offline-first. Multilingual.


ronithjuluri18/Causal-Impact-of-Promotions-on-Customer-Retention (0★) — Causal inference study estimating the effect of promotional campaigns on customer retention using Propensity Score Matching and Double ML (EconML). Built with Python, PySpark, scikit-learn, and MLflow


rayyan-ridwan/GreenGrad (0★) — An energy-efficient training framework that minimizes GPU and power usage during deep learning training. Visualizes resource consumption and promotes sustainable AI development.


karankadhir86/Green-AI-optimization-techniques-and-performance-energy-trade-off-studies. (0★) — This dataset contains 100,000 synthetic samples for analyzing energy-efficient AI models. It includes model type, dataset, training parameters, accuracy, energy consumption, and carbon emissions. The


zwonziss/green-recipes (1★) — A collection of runnable recipes for efficient AI training — measure energy, VRAM, and speed tradeoffs of different optimization techniques. Learn what actually saves compute without sacrificing quali


hewwee/ai-in-manufacturing (0★) — Developing a Green AI Framework for manufacturing, supported by a sustainable action layer that guides energy-efficient model training, carbon-aware workload scheduling, and sustainable data-handling


satyanshu404/AI-carbon-footprint-manager (4★) — This Hitachi AI research project aims to design an automated agentic application for carbon footprint management, handling tasks like data model extraction, footprint calculation, and decarbonization


greenscale-ai/genai-carbon-footprint (3★) — GenAI Carbon Footprint is a tool to estimate energy use (kWh) and carbon emissions (gCO2eq) from LLM usage


rebeccahihi/LLM (0★) — LLM carbon footprint calculator


talyke/JavaLLMCarbonFootPrint (0★) — java calculator OOP carbon footprint calculator


dhiksha-713/llm-carbon-footprint-research-portal (0★) — Carbon footprint measurement and evaluation of Large Language Models based on RAG (Green AI research project)


pyladiesams/optimize-ai-prompts-jun2025 (2★) — Optimize AI prompts to reduce verbosity and carbon footprint with ScaleDown


lueasf/Hack-LORIA (0★) — Hackathon about LLM's carbon footprint


jmdevita/carbon-proxy (1★) — Carbon footprint tracking for self-hosted LLMs.


vivekaradshan/LLM-inference-carbon-tracker (0★) — Repo is to track carbon footprint during LLM inference


boettiger-lab/nrp-carbon-api (0★) — Monitoring carbon footprint of LLMs on NRP


Divyansh0208/Carbon-Footprint-Awareness (0★) — Carbon Footprint Education Platform built with Django. Understand → Track → Reduce your emissions. Powered by NVIDIA NIM (LLM) for personalized AI insights, recommendations, and Q&A.


PRASUN-SITAULA/carbonWise (1★) —  A LLM powered web app that calculates the carbon footprint of a family and gives advisory to reduce the carbon footprint.


wyl2607/llm-carbon-index (0★) — Estimates the CO2 footprint of OpenRouter-visible LLM inference — estimates with uncertainty ranges, not measurements.


bigscience-workshop/carbon-footprint (13★) — A repository for `codecarbon` logs.


conda-forge/codecarbon-feedstock (2★) — A conda-smithy repository for codecarbon.


mlco2/vscode-extension-codecarbon (4★) — VS Code extension for CodeCarbon


mlco2/codecarbon-static-website (3★) — Static website for CodeCarbon.io


FNNDSC/pypx-repack-codecarbon-datalad (6★) — Comparing energy efficiency of a Rust rewrite of a program for DICOM management.


greatdevaks/iiit-codecarbon (2★) — Repository containing the slides and resources used for delivering talk titled "Towards Green AI: Tracking and Curtailing Carbon Footprint of AI Python Code with CodeCarbon"at IIIT Kottayam 2022


raphischer/ai-energy-validation (4★) — Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements


blessinvarkey/ecocoding (4★) — Energy Consumption of various Machine Learning and Deep Learning Models using codecarbon


zkan/hello-codecarbon (0★) — Hello, CodeCarbon!


mlcommons/power-dev (28★) — Dev repo for power measurement for the MLPerf™ benchmarks


Helmholtz-AI-Energy/perun (92★) — Perun is a Python package that measures the energy consumption of your applications.


powerapi-ng/pyJoules (94★) — A Python library to capture the energy consumption of code snippets


Amaurytiss/tf_energy_consumption (0★) — Small script with pyJoules and tensorflow to evaluate energy consumption of a device


raghavsingraur/Energy-_Efficient-_Systems (0★) — The development and features of a Flask-based web application designed for testing and training purposes, integrating terminal functionality smoothly. Additionally, the application incorporates PyJo


Sense-GVT/Fast-BEV (818★) — Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline


ankita-kalra/PIXOR (95★) — Bird's Eye View Object Detection Algorithm for self-driving Cars


chaytonmin/Awesome-BEV-Perception-Multi-Cameras (1112★) — Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD


kkk324/Vehicle-Distance-Detection (75★) — Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.


VDIGPKU/RCBEVDet (270★) — [CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection


bharath5673/yolo_BEV (102★) — Simple and Easy simulator YOLO Object Detection with Bird's Eye View


uranus4ever/Advanced-Lane-Detection (54★) — Camera Calibration; Distortion Correction; Perspective transform ("bird-eye view"); Compute curvature and vehicle position.


ZiningWang/Sparse_Pooling (57★) — SHPL: Fusing Bird's Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection


tteepe/TrackTacular (62★) — Official Code for "Lifting Multi-View Detection and Tracking to the Bird’s Eye View"


overfitover/pixor_pytorch (41★) — [Bird's Eye View Object Detection Algorithm for self-driving Cars]  pytorch for PIXOR


megvii-research/CVPR2023-UniDistill (119★) — CVPR2023 (highlight) - UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View


tmadl/ROS-road-line-junction-extraction (34★) — 3D road line extraction, bird's-eye view projection, and junction detection for ROS stereo images


mengtan00/SA-BEV (82★) — This is the implementation of the paper "SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection" (ICCV 2023)


zzj403/BEV_Robust (32★) — [CVPR 2023] Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving


pierluigiferrari/ssd3Dbv (5★) — A Keras SSD model for 3D object detection in bird's eye view images


arcanaxion/cracked-egg-detection (5★) — Computer Vision system to detect cracked eggs from a birds-eye view image of an egg tray.


norlab-ulaval/mask_bev (19★) — Source code for "MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds"


Manaliagarwal/Advanced-Lane-Detection (17★) — Homography based IPM. In computer vision, homography is a transformation matrix H when applied on a projective plane maps it to another plane (or image). In the case of Inverse Perspective Mapping (IP


parkerFrisk/Bird-s-eye-view (3★) — Master thesis Bird´s-eye view with human detection


cdemutiis/Advanced_Lanes_Detection (6★) — Advanced Lanes Detection using camera calibration, gradient/colour thresholding, a bird's-eye view perspective transform, a sliding window search and quadratic polynomial fits


HandsomeYun/MIC-BEV (18★) — MIC-BEV: Multi-Infrastructure Camera Bird’s-Eye-View Perception Transformer for 3D Object Detection


AJ-Wuu/SoccerNetPlus (8★) — Computer Vision on Soccer to help you understand the game, including player detection, bird-eye view transformation and movement tracking.


Shishir-Pokhrel/BEVLaneDetection (0★) — Bird Eye view transformation and lane detection in automotive


lienghongky/cmx-hmi (16★) — Unity 3D HMI for Lift-Splat-Blob (LSB) A real-time Human-Machine Interface (HMI) built in Unity 3D to visualize Bird's Eye View (BEV) outputs and blob detection results from the LSB vehicle detection


AutoCompSysLab/DCTNet (24★) — ArXiv (2022), 'A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View'


SoubhikMajumdar/3D-LiDAR-Based-Birds-Eye-View-Object-Detection-via-BEVFusion (5★) — 3D LiDAR Point Cloud based Bird's-Eye View (BEV) Object Detection framework using BEVFusion. Features inference, visualization, fine-tuning, and evaluation on nuScenes


MIN60/Lane_Detection (3★) — Lane Detection Using Hough Transform and Bird's Eye View


CP-Security/CP-Guard (11★) — [AAAI 2025 Oral] This is the official implenmentation of "CP-Guard: Malicious agent detection and defense in collaborative bird's eye view segmentation"


TrustAI/RobustBEV (3★) — A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection


kulmanferdi/rail-detection (1★) — Railway detection python library, birds eye view transformation and TCOM calculation


ADLab-AutoDrive/BEVFusion (970★) — Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"


linClubs/BEVFusion-ROS-TensorRT (240★) — BEVFusion-ROS-TensorRT-CPP real time inference including ros1 & ros2.


MaxLeo-LMZ/BEVFusion_Learningnote (113★) — 本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用，会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。


NVIDIA-AI-IOT/Lidar_AI_Solution (1843★) — A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, Y


egemenkopuz/temporal-bevfusion (19★) — Master's thesis research on 3D object detection using LiDAR and Camera data for infrastructure and railway domains, emphasizing inference optimization and utilization of temporal information for dista


knzo25/bevfusion_ros2 (32★) — BEVFusion implementation in ROS2


mx2013713828/CUDA_BEVFusion (9★) — Nvidia-IOT-CUDA_BEVFusion with lidar-only mode, deployed on Nvidia AGX ORIN.


barrydoooit/bevfusion4kitti (8★) — This tells you how to tune bevfusion (mmdet3d ver) for KITTI dataset


newintelligence4/BEVfusion_preprocess (11★) — Multiple Lidar preprocessor for BEVfusion


sharkls/BEVFusionE2E (5★) — BEVFusion部署工程


Mukaffi28/BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification (7★) — This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, D


hoangquy18/Multimodal-Aspect-Category-Sentiment-Analysis (14★) — Dataset and codes for our paper "New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis"


NeTicus/DREAMER-Multimodal-Emotion-Recognition (0★) — Standardized benchmark for multimodal emotion recognition, evaluating fusion methods across audio, visual, and physiological data using the DREAMER dataset.


Nhdnguyenhoangduc/llvip-pedestrian-detection (0★) — Low-light pedestrian detection via visible-infrared pixel fusion + YOLOv8s fine-tuning on the LLVIP benchmark dataset


simondlevy/SensorFusion (177★) — A simple Matlab example of sensor fusion using a Kalman filter


sharathsrini/Kalman-Filter-for-Sensor-Fusion (154★) — A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain


paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter (150★) — Fusing Lidar and Radar data with Extended Kalman Filter (EKF)


technitute/AKFSF-Simulation-CPP (111★) — Simulation Environment for Advanced Kalman Filtering for Sensor Fusion Course


diegoavillegasg/IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation (279★) — State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).


Jeff-Zhouxiaolong/demo_for_kalmanFilter (4★) — fusion location with only ranging and 6-axis imu sensor in similink data


williamhyin/SFND_Unscented_Kalman_Filter (63★) — Unscented_Kalman_Filter, CTRV model, Sensor fusion of lidar and radar, multiobject detection


ptiwari0664/SensorFusionNanoDegree (59★) — Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by pro


asuri2/CarND-Extended-Kalman-Filter-P6 (26★) — Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)


niksknocksu/Decentralized_KalmanFilter (12★) — A decentralized version of extended Kalman filter for a sensor network of over 100 nodes. Uses consensus algorithm for sensor fusion


NekSfyris/ESEKF_IMU_GNSS_Lidar (88★) — Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.


srnand/Object-Tracking-and-State-Prediction-with-Unscented-and-Extended-Kalman-Filters (65★) — Radar and Lidar Sensor Fusion using Simple, Extended, and Unscented Kalman Filter for Object Tracking and State Prediction.


rahul-sb/VINS (31★) — Sensor Fusion using Extended Kalman Filter


Janudis/Extended-Kalman-Filter-GPS_IMU (52★) — Sensor Fusion of GPS and IMU with Extended Kalman Filter for Localization in Autonomous Driving


informramiz/Unscented-Kalman-Filter (15★) — Unscented Kalman Filter (C++) for sensor fusion of Lidar and Radar to localize a vehicle position and velocity.


paulyehtw/Sensor-Fusion-Using-ES-EKF (32★) — Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.


raghuramshankar/kalman-filter-localization (20★) — Implementation of sensor fusion using Kalman Filters for localization of autonomous vehicles.


betaBison/gnss-sensor-fusion (60★) — Extended Kalman Filter (EKF) for position estimation using raw GNSS signals, IMU data, and barometer


cawfree/react-native-sensor-fusion (32★) — Robust absolute positioning in React Native.


VanniZhou/DWD_sensor_fusion (42★) — Lidar, camera, Radar multi-sensor fusion and Dynamic Weight Distribution (DWD) algorithm (ROS) . This project is able to fusion the targets of lidar, radar and camera, and assign them dynamic weights


SargisYonan/uKal (43★) — Micro Kalman Filter for linear and nonlinear systems


shantanubhadoria/go-kalmanfilter (37★) — Golang Library for Kalman Filter(also known as Linear Quadratic Estimation) used in sensor fusion


pangsu0613/CLOCs (404★) — CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection


TimKie/YOLO-LiDAR-Fusion (78★) — LiDAR-Camera Fusion for 3D Object Detection in Autonomous Driving Systems


Loahit5101/PointPillars-Camera-LiDAR-Fusion (52★) — Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.


rasd3/3D-CVF (131★) — [ECCV 2020] This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection


Ram-Godavarthi/Sensor_Fusion_3D_Object_Tracking_Lidar-Camera (35★) — Collision Avoidance System with Camera and Lidar - Track an Object in 3D Space - Object Detection with YOLO - Descriptors and Keypoint Matching


Laiqingsi/CLOCs_LQS (52★) — An implementation of CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection.


rasd3/3D-Dual-Fusion (78★) — [Arxiv 2022] This is the official implementation of 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection


XiongWeiyi/LXL (26★) — Code for paper: [IEEE T-IV 2024] LXL: LiDAR Excluded Lean 3D Object Detection With 4D Imaging Radar and Camera Fusion


ika-rwth-aachen/MultiCorrupt (86★) — [IV2024] MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, misca


ADLab-AutoDrive/lidar-camera-robust-benchmark (27★) — Code release for "Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection"


yinjunbo/CenterPoint-Fusion (97★) — The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to gene


ShiluYang96/Camera-LiDAR-Map-Fusion-Model (13★) — A multi-modal 3D detection network for autonomous driving


Gokulk1994/3D-Object-Tracking-Lidar-Camera-Fusion (9★) — Track 3D objects in KITTI dataset, using Lidar and Camera sensor fusion and YOLO based object detection.


IranQin/SupFusion (18★) — This is the official code of the paper "SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection"


xxlbigbrother/Fusion-RCNN (15★) — This is the official code of FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection.


amolloma/nd013-c2-sensor-fusion (9★) — Course submission material for Lidar point cloud based 3D Detection using Yolo, followed by Sensor Fusion and Camera Based Tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree


Mingqj/DepthFusion (8★) — DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection


Jigmiey/CLOCs (9★) — Multimodal Fusion of Camera Image data and LIDAR data for 3D object detection.


liyih/CoreNet (28★) — [Information Fusion 2025] CoreNet: Conflict Resolution Network for point-pixel misalignment and sub-task suppression of 3D LiDAR-camera object detection


denyz/FADN (11★) — A 3D object detection neural network in the fusion of lidar point clouds and camera images


rsade090/Relifusion (8★) — Reliability-aware LiDAR-Camera fusion framework for robust 3D object detection in autonomous driving.


Mingqj/DFU3D (11★) — [ACM MM 2025] Enhancing Pseudo-Boxes via Data-Level LiDAR-Camera Fusion for Unsupervised 3D Object Detection


morganm94/MultiCorrupt (5★) — A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.


Dr-Utopia/LiDAR-Camera-Fusion-3D-Detection (0★) — A lightweight 3D small object detection and multi-sensor fusion platform based on YOLOv8 and improved PointPillars.


tasarma/lidar-camera-fusion-3D-object-detection (0★) — Master's thesis project exploring how combining two sensor types (camera + LiDAR) can improve how machines perceive and detect objects in 3D space.


Jynxzzz/dual-camera-lidar-fusion (0★) — Dual-Camera LiDAR Fusion for Occlusion-Robust 3D Detection in Autonomous Driving (CARLA)


jylee-114/IS-Fusion (1★) — Camera–LiDAR sensor fusion for 3D object detection


Praveenkottari/Multi-modal-sensor-fusion (4★) — The study presents a Multi-Modal Fusion Pipeline that integrates Lidar, Camera, and IMU sensors for end-to end 3D object detection, mapping and global localization, particularly suited for real world


redddddyyyyy/lidar-camera-fusion (0★) — LiDAR-camera sensor fusion with YOLOv8 for 3D object detection. Frustum-based pipeline with ROS2 node, KITTI support, and temporal tracking.


Ashwinnraj/3D-obstacle-Detection-with-LiDar-Camera (0★) — This repository is built for Udacity course - SENSOR FUSION, Lesson 2; Third Project.


AndiA76/SDCND02-03_3D_Object_Detection_and_Tracking (4★) — Project 2 and 3 of Udacity's "Self-Driving Car Engineer" Nanodegree Program about 3D object detection and 3D object tracking over time using sensor fusion of Lidar and Camera measurements with an exte


mhatre-shubham/camera-lidar-sensor-fusion (1★) — Camera LiDAR sensor fusion pipeline for autonomous driving, enabling robust perception through sensor data processing, 3D object detection, and multi-object tracking.


lorenzofaoro/porject-data-fusion3D-Object-Detection-with-LiDAR-Camera-Fusion (0★) — 3D Object Detection with LiDAR-Camera Fusion with PointPillars + ResNet Architecture on KITTI-360 Dataset


whymesomeng/RGH-Fusion (0★) —  RGH-Fusion for LiDAR-Camera 3D object detection on KITTI dataset


farhanaristo/FFCL3D (1★) — Fusion 2D Camera Object Detection + 3D Lidar Object Detection (Kitti dataset)


advaitp/CLOCS-PointPillars-and-Cascade-RCNN- (0★) — CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection


ICEORY/PMF (231★) — Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)


Lyon2020/MSP-Attacks (75★) — [NEUCOM] A comprehensive repository of research papers and resources on adversarial attacks targeting autonomous driving perception systems, focusing on single-sensor vulnerabilities and multi-sensor


ASGuard-UCI/MSF-ADV (84★) — MSF-ADV is a novel physical-world adversarial attack method, which can fool the Multi Sensor Fusion (MSF) based autonomous driving (AD) perception in the victim autonomous vehicle (AV) to fail in dete


oskarnatan/compact-perception (9★) — Implementation code for: O. Natan and J. Miura, “Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion,” IEEE Transactions on Intelligent Transportation Systems,


ipranaysatija/Multi-Sensor-Fusion (2★) — A ROS2 Python node that fuses 2D LiDAR and RGB camera data by synchronizing topics, applying tf2-based extrinsics, and projecting LiDAR points into the image plane. Supports undistortion, PointCloud2


mh-kav-institute/multi_sensor_perception_fusion (0★) — Camera and LiDAR data fusion, tracking and filtering framework


MSFTest/MultiTest (5★) — This repository provides the code of the paper "MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems"


yeshwanthKumar-sa/multi-sensor-fusion (0★) — Multi-Sensor Fusion for Autonomous Vehicle Perception


AICHA-El-idrissi/ADAS-MultiSensor-Perception (0★) — Multi-sensor ADAS system — LiDAR/Radar/Stereo Camera/IMU fusion with YOLOv8 detection, DeepSORT tracking, Lane Keeping Assist & Collision Avoidance in Webots + ROS 2 + MATLAB/Simulink


afondiel/multimodal-sensor-fusion (1★) — A curated list of resources, libraries, tools, frameworks for Multimodal sensor fusion.


SuperGokou/sensor-fusion (0★) — Multi-sensor fusion perception (LiDAR / 4D radar / camera)


RahulAloth/RoboSense-Fusion (1★) — ROS2‑based Multi‑Sensor Perception Framework in Modern C++


muresaijaideepreddy/Autonomous-Vehicle-Multi-Sensor-Perception-Pipeline (0★) — Real-time autonomous vehicle perception pipeline using LiDAR, C++, and Eigen, designed for sensor fusion and tracking.


Chenyang-ZHU/self-driving-fusion-perception-tracking (1★) — A self-griving project based on multi-sensor late fusion, including single sensor peception based on camera/lidar/radar, multi-sensor perception result fusion and tracking.


poojasawantADAS/adas-perception-sensor-fusion (0★) — Real-time multi-sensor perception and fusion pipeline for ADAS systems — C++20 & Python


yeshwanthKumar-sa/multi-sensor-fusion-autonomous-vehicle (0★) — Exploration of multi-sensor fusion techniques for autonomous vehicle perception using camera, LiDAR, radar, PyTorch, and the nuScenes dataset.


sidkos/multi_sensor_fusion (1★) — Python-based automation framework for validating multi-sensor fusion systems (Radar, Camera, Late Fusion) with strict KPI enforcement, advanced performance metrics, and full CI/CD integration. Designe


jacksonzhang1116/AstrionFusionEngine (1★) — A next-generation multi-sensor fusion engine for intelligent positioning, navigation, and spatial perception.


kvemuru/spacecraft-perception-extended-kalman (0★) — Modular Extended Kalman Filter for spacecraft orbit determination, relative navigation, object tracking, and multi-sensor fusion


ahmedzainsyed/AI-Based-Multi-Sensor-Fusion-Engine-for-Autonomous-Systems (0★) — Probabilistic sensor fusion and autonomous perception platform using Kalman filters, transformers, uncertainty modeling, digital twins, and edge AI simulation for robust localization.


MSFTest/Drivence (0★) — Drivence: Realistic Driving Sequence Synthesis for Testing Multi-sensor Fusion Perception Systems


chr3720-alt/A-Robust-Multi-Sensor-Fusion-Framework-for-Autonomous-Vehicle (0★) — A robust multi-sensor fusion framework combines data from cameras, LiDAR, radar, and IMU to improve perception, localization, and navigation in autonomous vehicles. The system enhances object detectio


SarathKumarKomathukattil/deep-learning-perception-system (1★) — Deep learning perception system in PyTorch — YOLOv8 detection, ENet segmentation (87× parameter reduction), multi-sensor fusion. Real-time edge deployment, sim-to-real analysis.


yuukijiang/Fire_perception (1★) — This is a project of fire perception. The codes in this project are related to the paper named "Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN".


joshleh/fusiontrack (1★) — Multi-sensor UAV tracking via Extended Kalman Filter fusion of simulated radar and camera detections. Built to mirror perception and sensor fusion workflows in autonomous defense systems.


RadwaElsobki/ROS2-Sensor-Fusion-with-Kalman-Filter-for-Real-Time-Multi-Sensor-Integration (1★) — This project delivers a robust ROS2 sensor fusion framework using the Kalman Estimator to integrate multiple sensor data streams in real-time. It improves perception accuracy by filtering noise and pr


sothulthorn/MCFormer (2★) — Unofficial PyTorch reimplementation of "The bearing multi-sensor fault diagnosis method based on a multi-branch parallel perception network and feature fusion strategy" (Reliability Engineering and Sy


Qeyphen/EKFCore (1★) — A template-based Extended Kalman Filter for N-dimensional state estimation and multi-sensor fusion in robotics and control.


AwakenFury/Cyber-Bio-Neural-Perception-HUD (0★) — This system is a prototype neural-sensor fusion engine under active development. It is not stable, not production-ready, and will change significantly over time. The goal is to explore real-time multi


dabbuharshini/AutoSense (0★) — AutoSense – A multi-sensor fusion system for autonomous perception using camera, LiDAR, radar, GPS, and IMU data with deep learning–based anomaly detection and trajectory prediction.


aminetouiouel/Digital-Twin-ACC-Sensor-Fusion (0★) — This repository contains the implementation of an Adaptive Cruise Control (ACC) system based on multi-sensor fusion for autonomous vehicles. The system integrates data from multiple sensors including


Sania01082002/Enhancing-Autonomous-Vehicle-Capabilities-for-Inclement-Weather-Conditions (0★) — A multi-sensor fusion system combining camera, LiDAR, and radar to improve autonomous vehicle perception in rain and fog. Includes Faster R-CNN, YOLOv2, radar clustering, JPDA tracking, and weather si


slowakp/arm-ros-gaz-data (0★) — This repository contains a ROS 2 + Gazebo Classic simulation environment for controlled generation of multi-sensor data from a mobile robotic platform. The project is designed primarily for research,


nithineeswar/profile (0★) — I am Nithin Eswarappa, Research Associate in DRDO sanctioned, Multi Sensor Image Fusion Lab, GITAM University, Bengaluru. My research interests are in the fields of computer vision, machine learning,


cci9/IOUCalculation (19★) — IOU Calculation for 2D Quadrilaterals  The major functional components of autonomous vehicles are perception, control, planning, system management, and localization. Perception is a process that sense


Chinmayak1197/Visual-Sensor-Fusion (3★) — Combining RGB Camera and LiDAR point cloud data for object detection.


Guigor020/LiDAR-Camera-Sensor-Fusion (0★) — Implementation of a Sensor Fusion algorithm for Autonomous Driving using the KITTI dataset. Solved the problem of associating semantic 2D camera data (Object Detection) with precise 3D geometric infor


umtclskn/Carla-Similator-Collision-Avoidance-Module (2★) — Implement a Sample Collision-Detection-System / Collision-Avoidance-System. Running on Carla Simulator. Based on Sensor Fusion Camera & Lidar point cloud datas. Open3D,Carla Python Api, OpenCV


Charithlegend/LiDAR-Camera-Sensor-Fusion-for-3D-Object-Detection-and-Depth-Estimation (0★) — LiDAR-camera sensor fusion pipeline using YOLO instance segmentation and Velodyne point clouds on KITTI. Estimates depth via 5th percentile inlier filtering, evaluates bleed-out, and benchmarks YOLOv8


bhuvan-belliyappa/Object-level-sensor-data-fusion-for-road-user-detection-and-motion-prediction- (1★) — • Developed a custom DBSCAN algorithm to effectively cluster RADAR point clouds, improving data analysis accuracy.  • Retrained an object detection YOLO v8 model, tailoring it to meet specific app


AddyKore/Road-Detection-through-Sensor-Fusion-with-Fully-Convolutional-Neural-Networks (1★) — The work consists of Fully convoluted neural networks(FCNs) which are trained to carry out road detection by using one of the three input types as follows: RGB image of the scene, RGB image with a LID


rajaasimmustafa/3D-LiDAR-Object-Detection-DBSCAN-KITTI (0★) — 3D LiDAR Object Detection: ROS based project jismein 3D point cloud preprocessing, clustering (Euclidean/DBSCAN) aur bounding box generation hota hai. Dataset support (KITTI), visualization in RViz, a


GPanero/SensorFusionAndTracking (1★) — This is the project for the Udacity Self-Driving Car Engineer Nanodegree Program : Sensor Fusion and Tracking.  In this project, LiDAR and camera and track vehicles over time. will be fused, object de


TUMFTM/DPFT (95★) — Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection


PurdueDigitalTwin/REDFormer (61★) — [ITSC 23] Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion


kar-ab/AD_Sensor_Fusion (13★) — Sensor Fusion of Perception sensors ( Camera, Lidar and Radar) in Autonomous Driving


collector-m/Sensor_Fusion (7★) — Detect obstacles in lidar point clouds through clustering and segmentation. Apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting c


guihaik/RCPerception (4★) — This repository is the paperlist on Perception Algorithms for Radar and Camera Fusion.


zhinengz/Sensor_Fusion (4★) — Detect obstacles in lidar point clouds through clustering and segmentation. Apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting c


CC-owner/RCDBF (0★) — The  official implementation of RCDBF, our novel 4D radar-camera fusion architecture for 3D perception.


xiaorun2345/Traffic_Event (1★) — RK3588-based camera perception and camera-radar fusion process with RTSP   ingestion, RKNN object detection, tracking, localization, UDP reporting, and   LED warning integration.


330012/av-sensor-fusion (0★) — Hands-on exploration of multi-modal AV sensor data — processing and aligning camera and radar samples from the nuScenes dataset to understand cross-modal fusion fundamentals for autonomous driving per


OmarEmadAldin/End_to_End_perception_pipeline_with_3d_detection_tracking (0★) — In This Repo I made an End to End solution for perception stack using the Nuscenes dataset and using all camera , lidar and radar data for detection , fusion and tracking the objects


thuvaragak/carla_project (0★) — Developing an Enhanced Perception system in CARLA using ROS 2, integrating LiDAR, radar, and camera data for sensor fusion, real-time object tracking, and visualization using Open3D.


sguha16/multimodal-fusion-agent-negotiation (0★) — Multi-agent sensor fusion for autonomous driving perception. Radar processes raw ADC → CFAR → DBSCAN clustering. Camera runs YOLOv8 detection. Cross-modal matching with 2-round LLM negotiation for dis


shrutik-panchal/masters-thesis-multimodal-feature-extraction-and-fusion (1★) — Master’s thesis repository exploring multimodal feature extraction and fusion techniques using the NuScenes dataset. The work investigates representation learning across camera, LiDAR, and radar data,


11rahi23/GUSRaMoC (0★) — This is a sensor fusion model for improved 3D perception and obstacle avoidance on segmented terrain through a novel architecture. The system utilizes a Gaussian Uncertainty-based single Radar and sin


opendilab/InterFuser (653★) — [CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer


virtual-vehicle/aa274_autoware_ws (34★) — Hands-On example code for Sensor Fusion and Autonomous Driving Stack based on Autoware


superxiaoying/Autonomous_Vehicle_Paper_Reading_List (15★) — A collection of papers focus on self-driving car. Many topics are covered including computer vison, sensor fusion, SLAM, decision and planning. The paper list will be timely updated.


Say2L/GaussianFusion (93★) — [NeurIPS2025 Spotlight] Implementation of "GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving"


CMVS-Lab/SAC-Residual-Fusion-CARLA (18★) — Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning (ICROM, 2023)


cakwok/Autonomous-Driving (11★) — Scene Understanding in autonomous driving by sensor fusion.  Detected vehicles and 3D objects from LiDAR sensor range images by building BEV vector space, tracked multiple objects using extended Kalma


Manojkannan0803/Autonomous-Driving-Controls (5★) — Projects covering numerical ODE integration, PID, Kinematic vehicle modeling, sensor fusion (EKF), optimal control (LQR/MPC), motion planning (A*), and a fully integrated closed loop AV stack.


visionpilot-project/VisionPilot (28★) — Open-source modular autonomous driving simulation platform with computer vision, deep learning, and sensor fusion. Features lane detection, object recognition, various safety features, and adaptive co


Janudis/Extented-Kalman-Filter-LIDAR-GPS-IMU (15★) — Sensor Fusion of LiDAR, GPS and IMU with Extended Kalman Filter for Localization in Autonomous Driving.


YousefMansy/Autonomous-Highway-Driving (5★) — The goal of this project is to design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic. A successful path planner will be able to keep


Loki-Silvres/Autonomous-Driving-B3RB-buggy (2★) — Autonomous Driving project for exploration of robotic perception, sensor fusion and autonomous navigation.


gopi-erabati/MSF3DDETR (4★) — Official PyTorch implementation of the paper MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving


chandru-python/multi-sensor-data-fusion (3★) — This project performs real-time LiDAR–camera sensor fusion to track object distance in autonomous driving scenarios. By applying calibration, 3D projection, and Kalman filtering, the system ensures re


Jeswanth-Kanipakam/ROS2-Bumperbot (3★) — Developing an autonomous self-driving robot using ROS2 and Python, focusing on odometry, control systems, and sensor fusion. Kalman Filters combine data from LiDAR, IMU, and cameras for enhanced local


ece257b/Sensor-Fusion-for-Autonomous-Driving (1★) — P2SIF platform for sensor fusion in autonomous driving


MarianoCaccavale/SensorFusion (2★) — C++ Ros2 node for sensor fusion of various data from different source, namely stereo-camera cones detection and LiDAR cones detections. Build in a larger context of a autonomous driving system for a F


basictask/SensorFusion (0★) — 3D Sensor Fusion Applications to support modeling, autonomous driving


Highsky7/My_project_work_ws (7★) — This repository contains a collection of ROS (Robot Operating System) based projects focused on autonomous driving, computer vision, and sensor fusion. It includes algorithms for perceiving the enviro


ronitsharan/AutonomousDriving (0★) — Open source and online coursework algorithms related to computer vision, sensor fusion, localizatio, planning and control related to autonomous vehicles


AdamAI-Systems/Autonomous (0★) — Exploring autonomous intelligence through robotics, self-driving systems, sensor fusion, perception, planning, and decision-making.


aryanp2107/Autonomous-Perception-Ensemble (0★) — Multi-model sensor fusion for autonomous driving scene understanding


ra9hur/Udacity-Self-Driving-Car-ND-Term2 (3★) — To build the core robotic functions of an autonomous vehicle system: sensor fusion, localization and control. README includes GitHub repository links for 5 successfully completed projects.


robot-park/SLAM (0★) — Lidar-Camera sensor fusion for autonomous driving


Nikhil-Xavier-DS/Self_Driving_Car----Sensor-Fusion-Localization---Control (1★) — Sensor Fusion, Localization & Control projects for Autonomous Vehicles


zar-e/Sensor-Fusion (0★) — A research into Sensor Fusion for Decision-Making in Autonomous Driving Systems


ManvithMadhuvarsu/multimodal-autonomous-driving-ssl-pipeline (0★) — End-to-End multimodal autonomous driving pipeline with SSL, sensor fusion, GNN, RL, and inference modules.


vadhri/cps-notebook (0★) — Cyber physical systems - Sensor fusion, Robotics, Autonomous driving


Adam-Shawky23/autonomous-driving-simulator (0★) — Grid-based autonomous driving simulator (C++17) with multi-modal sensor fusion,  waypoint navigation, traffic reasoning, and deterministic replay. Features FOV-based  perception, confidence-weighted f


michil91/adas-sensor-fusion (0★) — Sensor fusion prototype with VRU-aware safety classification and weather degradation analysis for autonomous driving


saanindia/ADAS-GPU-Sensor-Fusion-Cuda (0★) — A simplified autonomous driving perception pipeline demonstrating GPU acceleration for sensor fusion workloads.


dloc19/Autonomous-driving- (0★) — Đồ án xe tự hành sử dụng CARLA 0.9.13 Simulator + PyTorch.   Tập trung vào **Perception Pipeline**: Image Processing, Object Detection, Semantic Segmentation, Lane Detection, và Camera-LiDAR Sensor Fu


quantumgizmos/bp_osd (107★) — BP+OSD: Belief propagation with ordered statistics post-processing for decoding quantum LDPC codes


kit-cel/Quantum-Neural-BP4-demo (24★) — Implementation of Neural Belief propagation decoder for QLDPC codes


WeileiZeng/belief-propagation (0★) — Using belief propagation to decode quantum codes


yysf-brait/css_make (4★) — A Python package of the successor to `bp_osd`. Belief propagation with ordered statistics post-processing for decoding quantum LDPC codes.


serco712/BPLP (0★) — Belief Propagation and Linear Programming decoders for Quantum Error Correction


maltmn/QuantumLDPC (0★) — Comparing quantum error decoders: Belief Propagation, Feed Forward Neural Network, and the Astra Graph Neural Network


Aumpatel07/quantum-error-correction (1★) — This repo contains code for a decoder based on belief propagation. The decoder also uses ordered statistics for choice of most probable error vector. Simulation of decoder on color and surface codes h


Zynerji/QEC (0★) — Dirac Ternary Quantum Error Correction — fractal soft-decision decoding with dark-memory belief propagation. Validated on IBM Marrakesh.


Musikavanhu/Biomimetic-Quantum-Error-Correction-simulation (0★) — Re-evaluated the architectural logic of Quantum Error Correction (QEC) for classical sensor networks using rigorous, standard coding theory frameworks. The simulation benchmarks the Biomimetic QEC-Log


Dies-Irae/BP-SF (6★) — Source code for "Fully Parallelized BP Decoding for Quantum LDPC Codes Can Outperform BP-OSD" (HPCA 2026))


GuillaumeLessard/qector-decoder (0★) — Source-available Rust/Python quantum error correction decoder package with MWPM, Union-Find, BP-OSD, LDPC/qLDPC, CUDA batch decoding, PyMatching/Stim validation, and reproducible benchmark artifacts.


quantumgizmos/ldpc (214★) — Software for decoding classical and quantum codes


qLDPCOrg/qLDPC (238★) — Tools for constructing and analyzing quantum low density parity check (qLDPC) codes.  Also stabilizer and subsystem codes more broadly.


quantumgizmos/bias_tailored_qldpc (36★) — Biased-tailored quantum LDPC codes


yuewuo/mwpf (46★) — Hypergraph Minimum-Weight Parity Factor (MWPF) Algorithm for Decoding General Quantum LDPC Codes


seokhyung-lee/ldpc-post-selection (9★) — Python package for decoding quantum LDPC codes with cluster-based post-selection


kasaikenta/gd-css-decoder (8★) — Quantum error correction based on non-binary LDPC codes


DiegoRuiz-Git/LDPCat (3★) — Code for the LDPC-cat qubit architecture presented in the article 'LDPC-cat codes for low-overhead quantum computing in 2D'


perlinm/qLDPC (12★) — Tools for constructing and analyzing quantum low density partity check (qLDPC) codes.


maxtremblay/ldpc (7★) — A set of data structure for classical and quantum LDPC codes


QuantumSavory/PyQDecoders.jl (9★) — A Julia interface to popular python packages for decoding quantum error correcting codes.


Samyak-Surti/QLDPCCodeSim (4★) — Simulating Quantum LDPC Codes


QEC-pages/Quantum_LDPC_Codes (3★) — Collection of quantum LDPC codes


qiskit-community/qcode-discovery (15★) — Discovering bivariate bicycle (BB) and perturbed bivariate bicycle (PBB) quantum LDPC codes via LLM-guided evolutionary search.


iqubit-org/Auto-Stabilizer-Check (9★) — DATE 2026: Auto-Stabilizer-Check: Optimal Compilation of Syndrome Extraction Circuits for General Quantum LDPC Codes


kasaikenta/quantum-ldpc-decoder (2★) — Decoder and P=32 CPM-lifted code data for arXiv:2604.20838


punkdit/ldpc2018 (0★) — ideas about quantum ldpc codes


aleverrier/frontier (15★) — Frontier decoder for quantum LDPC codes: pruned dynamic programming over boundary states for approximate logical maximum-likelihood decoding of sparse parity-check and detector-error-model matrices.


MDWoolls/QuantumLDPCCodeList (1★) — List of LDPC codes found.


PrismaticFlame/qec_decoder_transformer (0★) — A quantum error correction decoder with a recurrent, transformer based neural network that works on the surface code.


quantumlib/tesseract-decoder (113★) — Search-based decoder for quantum error correction (QEC) written in C++ and Python.


quantumlib/chromobius (35★) — Open-source implementation of a Möbius decoder for color codes used in quantum error correction (QEC)


panqec/panqec (87★) — Simulation and visualization of quantum error correcting codes


Winfred666/SurfaceCode-MWPMDecoder (0★) — A newbie study on pymatching and MWPM Decoder in quantum informatics subject.


dhruvbhq/surf_code_sim (0★) — Program to simulate threshold of rotated surface code. The error model is one stochastic Pauli error after "encoding". The decoding algorithm is MWPM implemented in Pymatching package.


AriaWu34/qec-surface-code-simulation (0★) — Modular quantum error correction simulator built in Python and Qiskit, featuring repetition codes, planar surface codes, configurable noise models, MWPM decoding, Monte Carlo benchmarking, and ongoing


tqec/tqec (375★) — Design automation software tools for Topological Quantum Error Correction


qiskit-community/qiskit-qec (121★) — Qiskit quantum error correction framework


qiskit-community/qiskit-ignis (170★) — Ignis (deprecated) provides tools for quantum hardware verification, noise characterization, and error correction.


Deltakit/deltakit (60★) — Riverlane's quantum error correction SDK


NVIDIA/Ising-Decoding (107★) — A set of training recipes for AI Quantum Error Correction Decoders


latticesurgery-com/lattice-surgery-compiler (85★) — Lattice surgery quantum error correction compiler


cgranade/python-quaec (49★) — A library for working with quantum error correction.


yuewuo/fusion-blossom (83★) — A fast minimum-weight perfect matching solver for quantum error correction


jolle-ag/qdx (47★) — Quantum error correction code AI-discovery with Jax


qecsim/qecsim (95★) — qecsim is a Python 3 package for simulating quantum error correction using stabilizer codes.


nzy1997/TensorQEC.jl (71★) — Tensor networks for quantum error correction.


PECOS-packages/PECOS (56★) — Software for exploring, developing, and evaluating quantum error-correction protocols.


SaashaJoshi/quantum-computing (13★) — Quantum Algorithms and Quantum Error Correction codes.


yuewuo/micro-blossom (25★) — Hardware Accelerated MWPM decoder for Quantum Error Correction


Deltakit/deltakit-textbook (21★) — Deltakit Textbook: A hands-on introduction to Quantum Error Correction concepts


francois-marie/awesome-quantum-computing-experiments (64★) — A comprehensive database of notable quantum computing experiments, with emphasis on quantum error correction implementations


CHY-i/qecGPT (43★) — Decoding Quantum Error Correction codes with Generative Pre-trained Transformers


abdullahkhalids/qecft (20★) — The book A Methods Focused Guide to Quantum Error Correction and Fault-Tolerant Quantum Computation


sneakyweasel/genetic-quantum-correction (8★) — Solving the decodoku quantum error correction problem with genetic algorithm


entropicalabs/el-loom (39★) — Python library for the simplified setup of quantum error correction codes


yuewuo/QEC-Playground (27★) — An educational tool to the introduction of Quantum Error Correction (QEC)


hongyehu/PyClifford (86★) — An intuitive programming package for simulating and analyzing Clifford-dominated circuits, quantum measurement, and stabilizer states with applications to many-body localization, classical shadows, qu


XanaduAI/flamingpy (60★) — FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.


yezhuoyang/ScaLERQEC (14★) — Scalable testing and verification of logical error rate for all quantum error correction


UnaryLab/syndrilla (15★) — A PyTorch-based numerical simulator for decoders in quantum error correction.


chahak13/quantum-error-correction (2★) — Quantum Error correction codes.


socathie/Quantum-Error-Correction (4★) — Simulation codes used for a final research project in Quantum Error Correction.


qec-codes/qec (28★) — Python Tools for Quantum Error Correction


Tahahassan92003/Quantum_Computing_Tackle_Noise_with_Error_Correction (7★) — This project will explore quantum error correction using the repetition code from Qiskit's guide. We will encode information across multiple qubits to detect and correct bit-flip errors, implement the


The-Singularity-Research/error-correction (1★) — Quantum Error Correction


nanleij/The-toric-code (22★) — The Toric Code (surface code for quantum error correction) together with the MWPM decoder (need a package) and the union-find decoder programmed in python


Stavan-Jain/QECLean (36★) — Formalization project on Quantum Error Correction in Lean


adelshb/graphqec (18★) — A library for analyzing Quantum Error Correction Codes from their Tanner Graphs.


lewis-od/QuantumErrorCorrection (9★) — Implementations of various quantum error correction schemes using QuTiP


Phionx/quantumnetworks (15★) — We present quantumnetworks as a numerical simulation tool with which to explore the time-dynamics of a driven, lossness, and nonlinear multi-mode quantum network using the Heisenberg-Langevin Equation


DeDuckProject/tesseract-code-stim (5★) — Tesseract quantum error correction code and Stim simulations


glanzz/quantum-error-correction (0★) — Build error correction circuit using stim


NitchayaninT/quantum-error-correction (0★) — quantum error correcting codes in stim, crumble and qiskit.


Alexisdevpro/surfaces_codes_stim (0★) — Surfaces Codes - Quantum Error Correction


HABER7789/QuantumFaultSim (0★) — HPC assisted Surface Code threshold simulator powered by Stim, PyMatching, and Sinter for distributed quantum error correction research.


qvazarius648/repetition-qec-stim (0★) — Quantum Error Correction pipeline using Stim and PyMatching with threshold estimation for repetition code.


Pyhroff/qec-lab (0★) — Rotated surface code quantum error correction simulator: Stim + PyMatching threshold curve, D3 lattice animation, RSA-2048 qubit estimator


mKatal/Stim-Learning (0★) — A long-term learning repository for Stim-based quantum error correction workflows, starting from minimal detector sampling and gradually moving toward decoder integration, visualization, and inspired


msubhia/intermediate-qec-symmetries (0★) — Quantum error-correction research code exploring automorphism-based fault-tolerant logical gate constructions and intermediate code symmetries.


wseltd/waynestark-quantum-decoderops-workbench (0★) — Local-first, vendor-neutral Python workbench for benchmarking quantum error correction decoders — Stim, PyMatching, sinter, NVIDIA Ising-Decoding (Apache-2.0). FastAPI + Typer CLI, DuckDB/PostgreSQL p


smitpatel228/Surface-Code-QEC (0★) — Surface Codes -  Quantum Error Correction. Manual Simulation of Unrotated Surface Code with Threshold and Bias Analysis of Rotated Surface Code using STIM and PyMatching


ridgeback1982/cameraMediaCodec (18★) — On Android platform, use MediaCodec to encode camera preview data and decode it to surface after that.


emilbjornson/IRS-relaying (116★) —  Simulation code for “Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communi


leye0/XamarinAndroidMediaCodecSurfaceToSurface (6★) — Xamarin Android MediaCodec Surface To Surface video decoding and encoding - CTS ported to Xamarin Android C#


usarica/FNAL-QCDecodingTests (0★) — Compact RCNN decoding of surface codes


R-Sweke/gym-surfacecode (6★) — A surface code environment for the development of decoding agents for fault tolerant quantum computing


mbecker12/surface-rl-decoder (7★) — Implementation of different NN architectures & RL techniques for decoding of the quantum surface code


ypwk/DecoderVIS (3★) — A visualizer for surface code decoding


MarcSerraPeralta/lomatching (7★) — Decoder for (fold-)transversal logical gates in surface codes based on MWPM


dua-arpit/single_shot_decoding_fractal (3★) — We adapt a cellular automaton decoder, sweep decoder, to the 3D surface code on a fractal lattice


ichirohasegawa07557/Surface-code-decoder (0★) — surface-code decoder


JazzyCH/BP-MWPM-XZZX-Code (2★) — Work on the creation of a BP+MWPM decoder for the XZZX surface code.


qvazarius648/surface-code-decoders (0★) — Benchmarking quantum error correction decoders for the rotated surface code


liziming18/surface-code-simulation (0★) — a simulation of surface code and the maximum likelihood decoder


aknapen/Pinball (7★) — Source code for the Pinball predecoder, a cryogenic hardware predecoder for surface code quantum error correction decoding under circuit-level noise.


shraggy/XZZX-Surface-Code-Decoder (0★) — Deocoder for XZZX Surface Codes


timchan0/localuf (6★) — A Python package to simulate and visualise Union-Find-related decoders for the surface and repetition codes.


Pisush/surface-code (0★) — Distance-d surface code with a union-find decoder and threshold Monte Carlo in Go


BryanZWu/transformer-surface-decoder (1★) — 191 project for a transformer based surface code decoder


33hariharann-ux/synop_decoding (0★) — SYNOP FM-12 Surface Code Decoder


kechen666/decoding (0★) — decoding for surface code


abenhemou/unimatch (2★) — Simulator of matching-based decoding on the color code and surface code


bajwa4200/surface-code-qec (0★) — Surface code stabilizer lattice with noise injection and syndrome decode


snpal/surface_code (0★) — Implementing a distance d surface code for quantum error correction. Decode using MWPM.


natashamp/Quantum-Error-Correction-Decoder (0★) — Python Surface Code Quantum Error Correction Decoder


quicophy/mdopt (42★) — Code-agnostic tensor-network (MPS-MPO) decoder for quantum error-correcting codes.


Surdui/eva (0★) — Quantum-inspired neural network for cross-load bearing fault diagnosis. Replaces Transformer with density matrix embedding, MPS tensor networks, collapse decoder, and no-cloning constraint.


108mk/Tensor_Network_Codes (1★) — As a part of Quantum error correction review project, we explored tensor network codes (TNC). TNC has diverse nad promising use in quantum error correcting codes. It is powerful tools to design larger


chubbc/JU2021 (1★) — Talk on the paper 'General tensor network decoding of 2D Pauli codes' and package 'SweepContractor.jl' to the Quantum Resources Group (Jagiellonian University, Krakow, Poland).


mlco2/impact (266★) — ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template


ml-energy/zeus (367★) — Measure and optimize the energy consumption of your AI applications!


ml-energy/leaderboard (10★) — How much time and energy do modern generative AI models consume?


responsibleproblemsolving/energy-usage (154★) — Provides a function to measure the energy usage of another function.


Green-Software-Foundation/carbon-aware-sdk (582★) — Carbon-Aware SDK


Green-Software-Foundation/if (182★) — Impact Framework


powerapi-ng/powerapi (248★) — PowerAPI is a Python framework for building software-defined power meters.


quantumlib/Stim (779★) — A fast stabilizer circuit library.


oscarhiggott/PyMatching (348★) — PyMatching: A Python/C++ library for decoding quantum error correcting codes with minimum-weight perfect matching.


seokhyung-lee/color-code-stim (31★) — Python package for simulating & decoding color code circuits.


gongaa/Feedback-GNN (16★) — Post-processing decoding of Quantum Low Density Parity Check Codes.


Dao-AILab/flash-attention (24375★) — Fast and memory-efficient exact attention


Zyphra/Zamba2 (193★) — PyTorch implementation of models from the Zamba2 series.


microsoft/Samba (964★) — [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling


state-spaces/mamba (18561★) — Mamba SSM architecture


kyegomez/Griffin (57★) — Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"


proger/hippogriff (89★) — Griffin MQA + Hawk Linear RNN Hybrid


HKUST-Aerial-Robotics/VINS-Fusion (4616★) — An optimization-based multi-sensor state estimator


open-mmlab/mmdetection3d (6472★) — OpenMMLab's next-generation platform for general 3D object detection.


ZHOUYI1023/awesome-radar-perception (1865★) —  A curated list of radar datasets, detection, tracking and fusion


Significant-Gravitas/AutoGPT (185416★) — AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.


crewAIInc/crewAI (55069★) — Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together smoothly, tackling complex tasks.


stanfordnlp/dspy (35906★) — DSPy: The framework for programming—not prompting—language models


mem0ai/mem0 (60294★) — Universal memory layer for AI Agents


letta-ai/letta (23692★) — Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.


huggingface/smolagents (28231★) — 🤗 smolagents: a barebones library for agents that think in code.


SWE-agent/SWE-agent (19722★) — SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]


OpenBMB/ChatDev (33682★) — ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration


run-llama/llama_index (50705★) — LlamaIndex is the widely-used document agent and OCR platform


assafelovic/gpt-researcher (28129★) — An autonomous agent that conducts deep research on any data using any LLM providers


Personality-Driven Decision-Making in LLM-Based Autonomous Agents


A Survey on Large Language Model based Autonomous Agents


A Review of Large Language Models and Autonomous Agents in Chemistry


Exploring Autonomous Agents through the Lens of Large Language Models: A Review


From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Users


RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models


Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model


Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective


Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models


ChatEDA: A Large Language Model Powered Autonomous Agent for EDA


Unified Mind Model: Reimagining Autonomous Agents in the LLM Era


Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models


ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents


LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation


Monte Carlo Planning with Large Language Model for Text-Based Game Agents


AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets


A Lightweight Modular Framework for Constructing Autonomous Agents Driven by Large Language Models: Design, Implementation, and Applications in AgentForge


Athena: Safe Autonomous Agents with Verbal Contrastive Learning


Merlin: Deterministic Byte-Exact Deduplication for Lossless Context Optimization in Large Language Model Inference


EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments


Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw


Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks


AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents


BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents


Learning Correct Behavior from Examples: Validating Sequential Execution in Autonomous Agents


Structured Agent Distillation for Large Language Model


ESAA: Event Sourcing for Autonomous Agents in LLM-Based Software Engineering


Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics


Emergence of human-like polarization among large language model agents


DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines


Optimizing LLM Prompt Engineering with DSPy Based Declarative Learning


Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy


A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation


Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs


To Write or to Automate Linguistic Prompts, That Is the Question


Analyzing LLM Instruction Optimization for Tabular Fact Verification


Prompt Programming for Cultural Bias and Alignment of Large Language Models


Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation


Structured Prompts Improve Evaluation of Language Models


ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition


Agent Capsules: Quality-Gated Granularity Control for Multi-Agent LLM Pipelines


Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)


Testing Agentic Workflows with Structural Coverage Criteria


Codebook Reduction and Saturation: Novel observations on Inductive Thematic Saturation for Large Language Models and initial coding in Thematic Analysis


metaTextGrad: Automatically optimizing language model optimizers


InPars+: Supercharging Synthetic Data Generation for Information Retrieval Systems


Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian


ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and Related Work Drafting


In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts


UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning


AgentSPEX: An Agent SPecification and EXecution Language


A Reproducible Optimisation Protocol for Calibrating Prompt-Based Large Language Model Workflows in Evidence Synthesis


WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction


A Large-Scale Dataset and Citation Intent Classification in Turkish with LLMs


Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent


Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together


WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue


OpenSanctions Pairs: Large-Scale Entity Matching with LLMs


OS-Copilot: Towards Generalist Computer Agents with Self-Improvement


Graph-based Agent Memory: Taxonomy, Techniques, and Applications


Lightweight LLM Agent Memory with Small Language Models


BMAM: Brain-inspired Multi-Agent Memory Framework


FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory


Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents


Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory


H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure


EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective


A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory


Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory


GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations


MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation


From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms


Beyond Heuristics: A Decision-Theoretic Framework for Agent Memory Management


Grounding Agent Memory in Contextual Intent


GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge


WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction


To Know is to Construct: Schema-Constrained Generation for Agent Memory


Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations


Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI


Joint Agent Memory and Exploration Learning via Novelty Signals


ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying


CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension


MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents


MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection


Event Extraction in Large Language Model


CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents


GAM: Hierarchical Graph-based Agentic Memory for LLM Agents


LLM Constitutional Multi-Agent Governance


Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications


The Geometry of Dialogue: Graphing Language Models to Reveal Synergistic Teams for Multi-Agent Collaboration


Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems


The Social Laboratory: A Psychometric Framework for Multi-Agent LLM Evaluation


An Interactive Multi-Agent System for Evaluation of New Product Concepts


Bilevel Optimization for Covert Memory Tampering in Heterogeneous Multi-Agent Architectures (XAMT)


FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making


LLM Collaboration With Multi-Agent Reinforcement Learning


Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA


Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement


MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered


TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems


CoComposer: LLM Multi-agent Collaborative Music Composition


Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems


An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring


Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration


Debate2Create: Robot Co-design via Multi-Agent LLM Debate


MALT: Improving Reasoning with Multi-Agent LLM Training


Insider Attacks in Multi-Agent LLM Consensus Systems


Multi-Agent LLM Orchestration Achieves Deterministic, High-Quality Decision Support for Incident Response


Orchestra-o1: Omnimodal Agent Orchestration


SWEnergy: An Empirical Study on Energy Efficiency in Agentic Issue Resolution Frameworks with SLMs


MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents


Multi-Agent Coordination Adaptation via Structure-Guided Orchestration


Reward Modeling for Multi-Agent Orchestration


Empirical Comparison of Agent Communication Protocols for Task Orchestration


Reasoning-Aware Prompt Orchestration: A Foundation Model for Multi-Agent Language Model Coordination


Utility-Guided Agent Orchestration for Efficient LLM Tool Use


Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces


Self-Healing Agentic Orchestrators for Reliable Tool-Augmented Large Language Model Systems


CORE:Toward Ubiquitous 6G Intelligence Through Collaborative Orchestration of Large Language Model Agents Over Hierarchical Edge


Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models


LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning


AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence


Multi-Agent Collaboration via Evolving Orchestration


ClawArena-Team: Benchmarking Subagent Orchestration and Dynamic Workflows in Language-Model Agents


Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research


A General Equilibrium Theory of Orchestrated AI Agent Systems


Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks


Large Language Models meet Network Slicing Management and Orchestration


Aethon: A Reference-Based Replication Primitive for Constant-Time Instantiation of Stateful AI Agents


Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestration


Multi-Agent Collaboration via Cross-Team Orchestration


An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading


Data Agent: A Holistic Architecture for Orchestrating Data+AI Ecosystems


OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents


MARCO: Multi-Agent Real-time Chat Orchestration


A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning


Understanding the planning of LLM agents: A survey


ToolTree: Efficient LLM Agent Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning


ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning


Robotouille: An Asynchronous Planning Benchmark for LLM Agents


HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning


Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning


Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant


Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs


Self-Evolving World Models for LLM Agent Planning


Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning


ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning


LLM-ABM for Transportation: Assessing the Potential of LLM Agents in System Analysis


Agent Planning Benchmark: A Diagnostic Framework for Planning Capabilities in LLM Agents


Automated Penetration Testing with LLM Agents and Classical Planning


Human-Centered LLM-Agent User Interface: A Position Paper


Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions


RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents


Fact-Augmented Lookahead Planning for LLM Agents


Plancraft: an evaluation dataset for planning with LLM agents


Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents


AgentSquare: Automatic LLM Agent Search in Modular Design Space


LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution


What Makes LLM Agent Simulations Useful for Policy Practice? An Iterative Design Study in Emergency Preparedness


Can LLM Agents Solve Collaborative Tasks? A Study on Urgency-Aware Planning and Coordination


Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example


Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents


Position: The Real Barrier to LLM Agent Usability is Agentic ROI


Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents


Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents


Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents


Exploring ReAct Prompting for Task-Oriented Dialogue: Insights and Shortcomings


ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent


UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning


A T-API-Compliant ReAct Agentic Loop for Optical Networks: Generic vs. Domain-Specific Tool Abstractions


From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery


To Act or React: Investigating Proactive Strategies For Online Community Moderation


Adaptive Stopping for Multi-Turn LLM Reasoning


ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents


Reasoning and Tools for Human-Level Forecasting


SRR-Judge: Step-Level Rating and Refinement for Enhancing Search-Integrated Reasoning in Search Agents


Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling


Datarus-R1: An Adaptive Multi-Step Reasoning LLM for Automated Data Analysis


Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling


Reacting like Humans: Incorporating Intrinsic Human Behaviors into NAO through Sound-Based Reactions to Fearful and Shocking Events for Enhanced Sociability


DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents


An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering


PreAct: Prediction Enhances Agent's Planning Ability


PerspAct: Enhancing LLM Situated Collaboration Skills through Perspective Taking and Active Vision


Adaptive Tool Generation with Models as Tools and Reinforcement Learning


ASP-Bench: From Natural Language to Logic Programs


An LLM Compiler for Parallel Function Calling


From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models


From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents


Harnessing LLM Agents with Skill Programs


A Survey of LLM-based Agents in Medicine: How far are we from Baymax?


LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions


From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future


Survey on Evaluation of LLM-based Agents


Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey


A Survey on Code Generation with LLM-based Agents


Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents


Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics


SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents


LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios


Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks


Leveraging LLM-based agents for social science research: insights from citation network simulations


Large Language Model-Based Agents for Software Engineering: A Survey


Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents


A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning


Agents in Software Engineering: Survey, Landscape, and Vision


Large Language Model-based Data Science Agent: A Survey


Generalizability of Large Language Model-Based Agents: A Comprehensive Survey


Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks


Against The Achilles' Heel: A Survey on Red Teaming for Generative Models


A Survey of Attacks on Large Language Models


A Survey on the Memory Mechanism of Large Language Model based Agents


From Question Answering to Task Completion: A Survey on Agent System and Harness Design


A Survey on the Optimization of Large Language Model-based Agents


A Survey of Large Language Model Agents for Question Answering


The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping Survey


The Rise and Potential of Large Language Model Based Agents: A Survey


LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey


Evaluation and Benchmarking of LLM Agents: A Survey


Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation


SWE-Bench+: Enhanced Coding Benchmark for LLMs


SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?


SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?


Unified Software Engineering Agent as AI Software Engineer


SeaView: Software Engineering Agent Visual Interface for Enhanced Workflow


UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench


The SWE-Bench Illusion: When High-performing LLMs Remember Instead of Reason


Exploring the Potential of Conversational Test Suite Based Program Repair on SWE-bench


Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study


SWE-bench: Can Language Models Resolve Real-World GitHub Issues?


SWE-bench-java: A GitHub Issue Resolving Benchmark for Java


Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems


What's in a Benchmark? The Case of SWE-Bench in Automated Program Repair


SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training


SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents


SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark


SWE-World: Building Software Engineering Agents in Docker-Free Environments


SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories


SWE-Bench-CL: Continual Learning for Coding Agents


Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving


SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation


SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?


Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks


SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests


Does SWE-Bench-Verified Test Agent Ability or Model Memory?


On Problems of Implicit Context Compression for Software Engineering Agents


Dialogue SWE-Bench: A Benchmark for Dialogue-Driven Coding Agents


Same Signal, Different Semantics: A Cross-Framework Behavioral Analysis of Software Engineering Agents


Agentic Tool Use in Large Language Models


Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward


SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents


AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use


TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture


ToolFailBench: Diagnosing Tool-Use Failures in LLM Agents


Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents


MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning


SLM-Based Agentic AI with P-C-G: Optimized for Korean Tool Use


MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use


Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents


Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning


AI Agents: Evolution, Architecture, and Real-World Applications


ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering


IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents


TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use


Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use


FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments


Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering


The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration


Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning


Estimating the Empowerment of Language Model Agents


INT-FlashAttention: Enabling Flash Attention for INT8 Quantization


SystolicAttention: Fusing FlashAttention within a Single Systolic Array


FLASH-D: FlashAttention with Hidden Softmax Division


Representation Shift: Unifying Token Compression with FlashAttention


Low-Cost FlashAttention with Fused Exponential and Multiplication Hardware Operators


FlashMask: Efficient and Rich Mask Extension of FlashAttention


Vectorized FlashAttention with Low-cost Exponential Computation in RISC-V Vector Processors


Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention


H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention


FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness


Sim-FA: A GPGPU Simulator Framework for Fine-Grained FlashAttention Pipeline Analysis


From Buffers to Registers: Unlocking Fine-Grained FlashAttention with Hybrid-Bonded 3D NPU Co-Design


AMLA: MUL by ADD in FlashAttention Rescaling


FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling


HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM Inference


Sequence-Aware Split Heuristic to Mitigate SM Underutilization in FlashAttention-3 Low-Head-Count Decoding


A Case Study in CUDA Kernel Fusion: Implementing FlashAttention-2 on NVIDIA Hopper Architecture using the CUTLASS Library


FastAttention: Extend FlashAttention2 to NPUs and Low-resource GPUs


QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention


The I/O Complexity of Attention, or How Optimal is Flash Attention?


Faster Causal Attention Over Large Sequences Through Sparse Flash Attention


DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training


Exact Causal Attention with 10% Fewer Operations


Sawtooth Wavefront Reordering: Enhanced CuTile FlashAttention on NVIDIA GB10


Flex Attention: A Programming Model for Generating Optimized Attention Kernels


DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts


ELFATT: Efficient Linear Fast Attention for Vision Transformers


RecurrentGemma: Moving Past Transformers for Efficient Open Language Models


HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit


Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI


Exploring Resolution-Wise Shared Attention in Hybrid Mamba-U-Nets for Improved Cross-Corpus Speech Enhancement


TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model


MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining


VIMCAN: Visual-Inertial 3D Human Pose Estimation with Hybrid Mamba-Cross-Attention Network


Attention to Mamba: A Recipe for Cross-Architecture Distillation


SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting


MatIR: A Hybrid Mamba-Transformer Image Restoration Model


Hybrid Mamba-Transformer Decoder for Error-Correcting Codes


The Mamba in the Llama: Distilling and Accelerating Hybrid Models


PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining


USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation


DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object Detection


XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake Detection


MambaVision: A Hybrid Mamba-Transformer Vision Backbone


MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation


MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement


Tiny Recursive Reasoning with Mamba-2 Attention Hybrid


InfoMamba: An Attention-Free Hybrid Mamba-Transformer Model


Where Should LoRA Go? Component-Type Placement in Hybrid Language Models


TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding


MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation


Polygon-mamba: Retinal vessel segmentation using polygon scanning mamba and space-frequency collaborative attention


Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation


HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning


UAM: A Unified Attention-Mamba Backbone of Multimodal Framework for Tumor Cell Classification


Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network


HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning


Jamba-1.5: Hybrid Transformer-Mamba Models at Scale


JambaTalk: Speech-Driven 3D Talking Head Generation Based on Hybrid Transformer-Mamba Model


TransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding


Hidden State Poisoning Attacks against Mamba-based Language Models


LEXI: Lossless Exponent Coding for Efficient Inter-Chiplet Communication in Hybrid LLMs


Forget Attention: Importance-Aware Attention Is All You Need


Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives


From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies


Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference


HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models


Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba


B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory


Some Attention is All You Need for Retrieval


Lacuna Inc. at SemEval-2026 Task 4: Structurally Gated State-Space Models for Disentangling Narrative Similarity


Efficient Extractive Summarization with MAMBA-Transformer Hybrids for Low-Resource Scenarios


Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches


Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks


Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels


Transformer Based Linear Attention with Optimized GPU Kernel Implementation


StreamKL: Fast and Memory-Efficient KL Divergence for Boosting Attention Distillation


AB-Sparse: Sparse Attention with Adaptive Block Size for Accurate and Efficient Long-Context Inference


HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion


SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention


Scaling Context Requires Rethinking Attention


CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels


Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models


Optimizing Attention on GPUs by Exploiting GPU Architectural NUMA Effects


POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference


Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks


Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation


BlindSight: Harnessing Sparsity for Efficient Vision-Language Models


PulseCol: Periodically Refreshed Column-Sparse Attention for Accelerating Diffusion Language Models


MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention


MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention


GSPN-2: Efficient Parallel Sequence Modeling


SemanticDialect: Semantic-Aware Mixed-Format Quantization for Video Diffusion Transformers


Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs


FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels


Treecode and fast multipole method for N-body simulation with CUDA


The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains


Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity


On Efficient Scaling of GNNs via IO-Aware Layers Implementations


CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs


Palu: Compressing KV-Cache with Low-Rank Projection


FLatten Transformer: Vision Transformer using Focused Linear Attention


CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction


LoFLAT: Local Feature Matching using Focused Linear Attention Transformer


The Linear Attention Resurrection in Vision Transformer


Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention


On The Application of Linear Attention in Multimodal Transformers


On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention


FLASepformer: Efficient Speech Separation with Gated Focused Linear Attention Transformer


LADY: Linear Attention for Autonomous Driving Efficiency without Transformers


ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention


Dynamic Differential Linear Attention: Enhancing Linear Diffusion Transformer for High-Quality Image Generation


ViT-AdaLA: Adapting Vision Transformers with Linear Attention


Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention


Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning


Why Softmax Attention Outperforms Linear Attention


SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization


Learning Linear Attention in Polynomial Time


ZeroS: Zero-Sum Linear Attention for Efficient Transformers


Demystify Mamba in Vision: A Linear Attention Perspective


Breaking the Low-Rank Dilemma of Linear Attention


Rectifying Magnitude Neglect in Linear Attention


Enhancing Linear Attention with Residual Learning


The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry


MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction


A2Mamba: Attention-augmented State Space Models for Visual Recognition


PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model


Priming: Hybrid State Space Models From Pre-trained Transformers


Efficient and Robust Long-Form Speech Recognition with Hybrid H3-Conformer


Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models


PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis


Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling


MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection


Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures


OTCE: Hybrid SSM and Attention with Cross Domain Mixture of Experts to construct Observer-Thinker-Conceiver-Expresser


Generalizable, real-time neural decoding with hybrid state-space models


Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction