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Minimal examples of data structures and algorithms in Python
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementations of deep reinforcement learning algorithms and environments
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
深度学习入门教程, 优秀文章, Deep Learning Tutorial
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
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。
Deep Reinforcement Learning
Repository for codes of 'Deep Reinforcement Learning'
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A toolkit for developing and comparing reinforcement learning algorithms.
基于gym的pytorch深度强化学习(DRL)(PPO,DQN,SAC,DDPG,TD3等算法)
Hands-On Graph Neural Networks Using Python, published by Packt
https://hml.boyuai.com
https://hrl.boyuai.com/
本文档适合于刚入学的硕士和博士(计算机专业最好,其他专业可参考)。
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
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!
This is the notes of the way of machine learning study. You may find something useful in it.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
machine learning and deep learning tutorials, articles and other resources
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.