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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.
"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.
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.
This free e-book "The Way to Learn React", the simplest and most practical React practical tutorial
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
"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.
Tensorflow 2 Tutorial Personal learning notes based on the official tutorial, mainly borrowing some methods of constructing neural networks with keras, Chinese explanation
"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.
"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.
"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
Zhou Zhihua's "Machine Learning" book, a concise version of the "Watermelon Book", notes
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
Convert the MXNet code implementation in the original "Dive into Deep Learning" book to a PyTorch implementation.
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.
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