drwxyh

drwxyh.github.io

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latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

AdaPool

ASTGNN

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

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

ijcai-rideshare

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。

PVCGN

code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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

simfleet

Agent-based fleet simulator to test strategies

ST-Attn

Multi-step Citywide Crowd Flow Prediction

ST-GDN

ST-HAttn

A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction

STGCN

The PyTorch version of STGCN implemented by the paper

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

torchrl

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Transportation_with_Machine_Learning

交通·未来系列线上公益学术活动PPT

XYHFigures