More than 130+ pages in this beautiful app and more than 45 developers has contributed to it.
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More than 130+ pages in this beautiful app and more than 45 developers has contributed to it.
Open source web application to learn JS stack: React, Material-UI, Next.js, Node.js, Express.js, Mongoose, MongoDB database.
周志华《机器学习》手推笔记
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
一份面向 Java 后端工程师的源码阅读地图:从 JDK / JUC 到 Spring、Netty、Kafka、RocketMQ,按核心链路拆解框架设计与底层实现。
Learning FPGA, yosys, nextpnr, and RISC-V
精心收集并分类整理的Swift开发学习资源,包括Apple官方提供的示例代码和文档,以及github上的项目和国内外开发者的技术博客。欢迎提交pull-request一起维护。https://t.me/SwiftCN QQ交流群 32958950 申请请注明开发经验
The fast.ai course notebooks
The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media
Code accompanying the book "Machine Learning for Hackers"
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Learn how to use redux step by step
CDN Up and Running - Building a CDN from Scratch to Learn about CDN, Nginx, Lua, Prometheus, Grafana, Load balancing, and Containers.
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
Minimal and Clean Reinforcement Learning Examples
The content behind Elixir School, the premier destination for people seeking to learn and master the Elixir programming language.
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
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
Learning assembly for Linux x86_64