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The goal of the "PyTorch Chinese Manual" is to help friends who want to learn and use PyTorch for deep learning development and research get started quickly.

20.8k
Jupyter Notebook
35 贡献者

"Interpretable Machine Learning" was written by author Christoph Molnar over a period of two years. The book has a total of more than 250 pages, 78,000 words, and more than 1,200 submissions. Thank you for the author's selfless contribution.

4915
Jupyter Notebook
Other
80 贡献者

An open-source e-book "WordPress Practical Course for Everyone to Learn", this e-book will teach you the most basic use, optimization, theme development, plugin development of WordPress, as well as how to integrate WordPress into other applications.

771
Handlebars
2 贡献者

This free e-book "The Way to Learn React", the simplest and most practical React practical tutorial

1848
31 贡献者

A Go tutorial "Go Programming Language Tutorial" is undoubtedly the most suitable book for those who are interested in learning the Go programming language. It contains the most comprehensive learning resources at present

34.9k
Go
239 贡献者

"The Way to Enter NLP Research" This book will systematically introduce you to the basics of NLP (Natural Language Processing) research, an overview of the academic circle, literature reading, experimental design, and thesis writing.

2006
MIT License
4 贡献者

Tensorflow 2 Tutorial Personal learning notes based on the official tutorial, mainly borrowing some methods of constructing neural networks with keras, Chinese explanation

7823
Jupyter Notebook
1 贡献者

"Data Science in the Command Line" is written by a Dutch data scientist Jeroen Janssens, which mainly explains more than 80 practical command line tools and how to use them to efficiently acquire, clean, explore and model data.

3867
HTML
Other
26 贡献者

"Statistical Learning Methods" is a classic introduction to machine learning, comprehensively and systematically introducing the main methods of statistical learning. The narrative starts from specific problems or examples, gradually deepens, clarifies the thinking process, provides necessary mathematical derivations, making it easy for readers to grasp the essence of statistical learning methods and learn how to apply them.

19.3k
Jupyter Notebook
5 贡献者

"Prometheus Operation Guide" The content of this book goes from basic to advanced and then to practical, with a summary at the end of each chapter

3241
37 贡献者

Zhou Zhihua's "Machine Learning" book, a concise version of the "Watermelon Book", notes

7451
1 贡献者

Open source free machine learning book "PumpkinBook", which is a subtle supplement to the classic introductory textbook of machine learning by Prof. Zhichao Zhou, such as analyzing difficult formulas and supplementing specific derivation details

24.7k
Other
37 贡献者

Convert the MXNet code implementation in the original "Dive into Deep Learning" book to a PyTorch implementation.

18.8k
Jupyter Notebook
Apache License 2.0
8 贡献者

The open source book "Advanced Programming in Go" covers advanced topics such as CGO, Go assembly language, RPC implementation, Protobuf plugin implementation, Web framework implementation, and distributed systems.

19.7k
Go
BSD 2-Clause "Simplified" License
77 贡献者

A Vue source code learning series "Line-by-line analysis of Vue.js source code" author records the whole process of gradually learning the Vue source code divided into nine modules, as well as some understanding of the source code

154
MIT License
1 贡献者

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