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Closed-loop multi-ability evaluation of end-to-end autonomous driving algorithms
Open-source simulator for autonomous driving research.
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
Generate nuScenes style birdeye-view image in Carla Simulator
To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.
Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CARLA simulator. Enhances safety and efficiency through informed decision-making in dynamic traffic scenarios.
deep learning for image processing including classification and object-detection etc.
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
PyTorch implementation of the paper "FLAMNet: A Flexible Line Anchor Mechanism Network for Lane Detection".
An OpenAI gym wrapper for CARLA simulator
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
road_segmentations, objectdetection, deeplabv3 OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.10
Source code of PivotNet (ICCV2023, PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction)
This is the official pytorch implementation of PolarPoint-BEV.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
reinforcement learning based agents for self-driving in CARLA
Deep Reinforcement Learning in CARLA simulator
The official repository for ScalableMap (CoRL 2023)
Project creates BEV image of the given multi sensor data from CARLA simulator.
SuperYOLO is accepted by TGRS
An academic alternative to Tesla's occupancy network for autonomous driving.
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.