🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This is the code of paper: Learning Task-relevant Representations via Rewards and Real Actions for Reinforcement Learning.

Mujoco tasks and CARLA autonomous driving using DRL

deep learning for image processing including classification and object-detection etc.

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

An OpenAI gym wrapper for CARLA simulator

Udacity Self-Driving Car Engineer Nanodegree projects.

Mastering Diverse Domains through World Models

World Model based Autonomous Driving Platform in CARLA 🚗

A curated list of awesome End-to-End Autonomous Driving resources (continually updated)

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Carla Project RL End-to-End Auto Driving

motion planning with carla simulator

AutoDriving-Planning-Control-Algorithm-Simulation-Carla

iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel unsupervised imperative learning approach

自动驾驶散修一枚 -> 记录自己对自动驾驶的学习过程和相关学习链接

Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

Kolmogorov Arnold Networks

(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model