Simple and easily configurable grid world environments for reinforcement learning

OpenAI gym-based algorithm for the grid world problem

Simple grid-world environment compatible with OpenAI-gym

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

some of my manim projects

Python Implementation of Reinforcement Learning: An Introduction

AI education materials for Chinese students, teachers and IT professionals.

AI education materials for Chinese students, teachers and IT professionals.

Final project for CPE 400. Implementation of Dijkstra's Algorithm in a node mesh simulation to simulate dynamic routing in a faulty network. (Python)

Python implements of Bellman-Ford Algorithm and Dijkstra's Algorithm, also a solution of E6108 assignment 2

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

TensorFlow binaries supporting AVX, FMA, SSE

A toolkit for developing and comparing reinforcement learning algorithms.

Hands-On Reinforcement Learning with Python, published by Packt