我们现在在服务器端渲染 MathJax，如果希望实现类似效果，可以参考 build.yml。（需要安装 Node.js）
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#970 · +32 · 1d ·GitHub
One has no future if one couldn't teach themself.
#1399 · +20 · 1d ·GitHub
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
#1411 · +20 · 1d ·GitHub
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
#1520 · +18 · 1d ·GitHub
The world is rushing to build AI systems. It is not engineering them.
#1785 · +15 · 1d ·GitHub
CSAPP 中文文档与学习资料：《深入理解计算机系统》第三版全章节 Markdown，含练习题答案、八大实验中文翻译及官方自学实验包，方便在线阅读与离线学习。
#1808 · +14 · 1d ·GitHub
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.
邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。
#2374 · +9 · 1d ·GitHub
Comprehensive Python Cheatsheet =============================== Download text file, Fork me on GitHub or Check out FAQ.
#2597 · +8 · 1d ·GitHub
Awesome Math is a curated list of high-quality resources for learning, teaching, and doing mathematics. It covers pure mathematics, applied mathematics, computation, formal proof, and the use of AI in mathematics.
#2605 · +8 · 1d ·GitHub
We are in the process of writing a book on Mathematics for Machine Learning that motivates people to learn mathematical concepts. The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this.
#3016 · +6 · 1d ·GitHub
专为程序员编写的英语学习指南 v1.2。在线版本请点 ->
#3879 · +4 · 1d ·GitHub
This project has not provided a description yet.
This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1.
#5342 · +1 · 1d ·GitHub
《The Way to Go》中文译本，中文正式名《Go 入门指南》
#5438 · +1 · 1d ·GitHub
We'd like to make the tutorial available in many languages. Please help us to translate.
#5557 · +1 · 1d ·GitHub
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。
《On Java 8》中文版
#5939 · +1 · 1d ·GitHub
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book.
#6296 · +1 · 1d ·GitHub
Open Source Introductory Systems Programming Textbook for the University of Illinois
#7235 · +0 · 1d ·GitHub
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.
#7537 · +0 · 1d ·GitHub
ApacheCN 数据结构与算法译文集
#7781 · +0 · 1d ·GitHub
Book4《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！