liurougan

liurougan's Stars

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.6k4.2k

• OpenDriveLab/TCP

  [NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

  Language:Python36146

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  Language:Python3.5k383

• getaurora/download

  极光官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由

  3.7k456

• wujingda/Human-in-the-loop-Deep-Reinforcement-Learning

  (Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving

  Language:Python4710

• idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

  Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

  Language:Python28759

• cjy1992/interp-e2e-driving

  Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

  Language:Python24238

• praveen-palanisamy/macad-gym

  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:

  Language:Python33474

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python23.2k6.5k

• kujason/avod

  Code for 3D object detection for autonomous driving

  Language:Python937347

• jiachenli94/Awesome-Decision-Making-Reinforcement-Learning

  A selection of state-of-the-art research materials on decision making and motion planning.

  21544

• JuliaAcademy/Decision-Making-Under-Uncertainty

  Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss

  Language:HTML22867

• ondrejbiza/aamas_19

  Source code for the paper "Online Abstraction with MDP Homomorphisms for Deep Learning".

  Language:Python52

• MaxPRon/DQN-for-lane-change-in-highway-scenarios

  Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving

  Language:Python237

• Jacklinkk/TorchGRL

  TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.

  Language:Python7910

• chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving

  Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

  44299

• yuxng/MDP_Tracking

  Learning to Track: Online Multi-Object Tracking by Decision Making

  Language:Matlab414168

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k749

• JuliaPOMDP/POMDPs.jl

  MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

  Language:Julia669104

• mrok273/Qiita

  Language:Jupyter Notebook145

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.7k8k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.5k16.3k

• B-C-WANG/ReinforcementLearningInAutoPilot

  RL in AutoPilot 自动驾驶强化学习：效果展示，框架设计、算法和训练经验文档等（部分开源，update from private repo: egocar）

  Language:Python10836

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python274k46.1k