Charles Xu's repositories
drwxyh.github.io
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latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
ASTGNN
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
Brno-Urban-Dataset
Navigation and localisation dataset for self driving cars and autonomous robots
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
ElegantRL
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
Graph-WaveNet
graph wavenet
GVINS-Dataset
A dataset containing synchronized visual, inertial and GNSS raw measurements.
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Leetcode-retag
重新分类 Leetcode 高频题
MT-ASTN
Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
Navigation-Learning
我的导航学习笔记,内容涵盖导航定位开源程序的源码解读 ( 包括:RTKLIB、GAMP、SoftGNSS、KF-GINS、ORB-SLAM3 等)、各种导航设备的使用方式、书籍讲义、博客翻译、开源项目梳理、常用网站记录、Linux/Vim/Git/ROS/VSCode 常用命令、以及我作为双非导航工程本科生对于导航学习的思考感悟;本仓库会长期更新,分享出来,希望有人用得上,也激励着自己坚持学下去;所有内容都可以随意转载,可用于任何目的,不必征求我的意见;如果您觉得内容有价值,推荐用 Github-Desktop 下载并保持更新。
pytorch_geometric_temporal
A Temporal Extension Library for PyTorch Geometric
qzhang95.github.io
Homepage:
rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
RL-for-Transportation
Paper list of Reinforcement Learning (RL) applied on transportation
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
simfleet
Agent-based fleet simulator to test strategies
ST-Attn
Multi-step Citywide Crowd Flow Prediction
ST-HAttn
A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction
torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)