lisong2019's repositories
web
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
intelligent-self-driving-car
High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm
xlogit
A Python package for GPU-accelerated estimation of mixed logit models.
openrl
通用强化学习研究框架
chatgpt_academic
科研工作专用ChatGPT/GLM拓展，特别优化学术Paper润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++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gpt-3.5/gpt-4/chatglm
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复
zihao_course
同济子豪兄的公开课
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
sumo_variable_speed_limits
Project repository for Intelligent Transportation Systems course.
SumoWithCesium
sumo和cesium联合仿真
Driving-IRL-NGSIM
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
sumo-rl
A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
traffic-big-data-theory-and-applications
《交通大数据理论与方法》
SUMO-RL-ramp-control
Reinforcement learning based on ramp entrance and exit control of urban trunk roads
highway-env
A minimalist environment for decision-making in autonomous driving
MARL_CAVs
MARL for autonomous vehicles.
RESCO
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
causallib
A Python package for modular causal inference analysis and model evaluations
easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
deep-rl
Deep Learning (FS 2020)
A-Deep-Reinforcement-Learning-Network-for-Traffic-Light-Cycle-Control
A Deep Reinforcement Learning Network for Traffic Light Cycle Control
Deep-Forest
An implementation of Deep Forest 2021.2.1.