In-depth understanding of Node.js: Core Ideas and Source Code Analysis
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- v8
- libuv
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In-depth understanding of Node.js: Core Ideas and Source Code Analysis
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Translated從零開始學 ReactJS (ReactJS 101, "Learning ReactJS from Scratch") is a Chinese-language introductory React tutorial book that hopes to be easy for beginners to understand at a glance, learning the React.js ecosystem (Flux, Redux, React Router, ImmutableJS, React Native, Relay/GraphQL etc.) from the basics to more advanced topics.
Text and supporting code for Think Stats, 2nd Edition
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Linux命令行与shell脚本编程大全案例
《算法导论》第三版中算法的C++实现
Data Science at the Command Line
How I Scaled from Zero to a Million Store on Dukaan, Without a CS Degree. .. A System Design Handbook by Subhash Choudhary
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Example code from Learning Spark book
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习,欢迎批评指正
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
Practical Cryptography for Developers: Hashes, MAC, Key Derivation, DHKE, Symmetric and Asymmetric Ciphers, Public Key Cryptosystems, RSA, Elliptic Curves, ECC, secp256k1, ECDH, ECIES, Digital Signatures, ECDSA, EdDSA
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
Open source web application to learn JS stack: React, Material-UI, Next.js, Node.js, Express.js, Mongoose, MongoDB database.
Writing an OS in 1,000 lines.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
A book covering the fundamentals of data visualization
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Code repository for O'Reilly book