Liu Yuqi's repositories
gpt_academic
为ChatGPT/GLM提供图形交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm2等本地模型。兼容复旦MOSS, llama, rwkv, newbing, claude, claude2等
argoverse-api
Official GitHub repository for Argoverse dataset
highway-env
An environment for autonomous driving decision-making
A1-QP-MPC-Controller
An open source implementation of MIT Cheetah 3 controllers
agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
carla-roach
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
CPlusPlusThings
C++那些事
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
DOS
[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
driver-dojo
A benchmark towards generalizable reinforcement learning for autonomous driving.
DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
DSAC-T
DSAC-v2; DASC; Distributional Soft Actor-Critic
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FinRL
FinRL: Financial Reinforcement Learning. 🔥
Heterogeneous-Graph-RL
Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"
interp-e2e-driving
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
leetcode-master
《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！🚀
LeetCode-Py
⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，800+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。
mile
PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".
rl-agents
Implementations of Reinforcement Learning algorithms
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
slac
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
stable-baselines3
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving