Pei Wang's repositories
PPO_CARLA_PT
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
apollo
An open autonomous driving platform
Book-Mathmatical-Foundation-of-Reinforcement-Learning
Mathmatical Foundations of Reinforcement Learning
carla
Open-source simulator for autonomous driving research.
DQN_Carla_TF
Designing a DRL agent to drive autonomously in Carla Env
DSAC-T
DSAC-v2
easy-rl
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
f1tenth_gym_ros
Containerized ROS communication bridge for F1TENTH gym environment.
f1tenth_il
Implementation of various imitation learning algorithms for the F1TENTH platform
gt-linalg
Interactive Linear Algebra, free online textbook at Georgia Tech
Hands-on-RL
Hands-on-RL
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
Learn-Carla
Learn how to use CARLA with basic APIs
Learn_to_Race
Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.
LeetCode-Book
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
PIDNet
This is the official repository for our recent work: PIDNet
Prioritized-Human-in-the-loop-End-to-end-Autonomous-Driving
(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving
rl_CARLA
Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator
ros-bridge-carla
ROS bridge for CARLA Simulator
SAN
Open-vocabulary Semantic Segmentation
SegFormer
Official PyTorch implementation of SegFormer
Simple_Reinforcement_Learning
Simple_Reinforcement_Learning
TCP
[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.