Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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…

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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

A dataset containing synchronized visual, inertial and GNSS raw measurements.

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

This repository contains the nine hundred sky segmentation datasets and the sky segmentation model provided by us.

graph wavenet

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

Multi-step Citywide Crowd Flow Prediction

Agent-based fleet simulator to test strategies

Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"

Tips for Writing a Research Paper using LaTeX

Navigation and localisation dataset for self driving cars and autonomous robots

Paper list of Reinforcement Learning (RL) applied on transportation

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重新分类 Leetcode 高频题

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

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

A Temporal Extension Library for PyTorch Geometric

The PyTorch version of STGCN implemented by the paper

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more