datawhalechina / easy-rlLinks
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
☆11,749Updated 2 weeks ago
Alternatives and similar repositories for easy-rl
Users that are interested in easy-rl are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning☆3,989Updated 2 years ago
- https://hrl.boyuai.com/☆3,606Updated 2 years ago
- 《Pytorch模型训练实用教程》中配套代码☆7,905Updated 6 months ago
- Intro to Reinforcement Learning (强化学习纲要)☆3,403Updated 4 years ago
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,556Updated last year
- Pytorch🍊🍉 is delicious, just eat it! 😋😋☆5,838Updated 4 months ago
- 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases☆15,365Updated 3 weeks ago
- 《机器学习》(西瓜书)公式详解☆24,961Updated 3 weeks ago
- 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。☆18,921Updated 3 years ago
- 深度学习经典、新论文逐段精读☆30,638Updated 3 months ago
- 周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!☆7,501Updated 3 years ago
- 深度学习入门教程, 优秀文章, Deep Learning Tutorial☆16,076Updated 3 years ago
- PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/☆3,085Updated 4 months ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,499Updated 3 years ago
- 中文整理的强化学习资料(Reinforcement Learning)☆2,051Updated 5 years ago
- 李宏毅2021/2022/2023春季机器学习课程课件及作业☆6,748Updated 2 years ago
- 机器学习算法的公式推导以及numpy实现☆2,086Updated 2 years ago
- 深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)☆8,346Updated last year
- Notes about courses Dive into Deep Learning by Mu Li☆3,596Updated 2 years ago
- ✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。☆2,783Updated last year
- 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。☆16,890Updated 3 years ago
- 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning☆18,391Updated 2 years ago
- 周志华《机器学习》手推笔记☆3,689Updated 4 years ago
- 数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路☆4,486Updated this week
- 总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力☆7,343Updated 2 years ago
- My personal notes☆1,716Updated 2 years ago
- Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现☆7,080Updated 5 years ago
- 一本系统地教你将深度学习模型的性能最大化的战术手册。☆2,915Updated 2 years ago
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,153Updated last year
- Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C5…☆2,723Updated 3 weeks ago