Learning & Roadmaps

Curated list of AutoResearch use cases with optimization traces and open source implementations

保姆级教程：通过 VPS + v2ray-agent + Clash 获得干净海外 IP，降低 Claude / ChatGPT 封号风险

A collection of game decompilations, recompilations, demos, ports

🚀 [从零构建 LLM] 极简大模型训练原理与实践指南。包含 Transformer, Pretraining, SFT 核心代码与对照实验。 | A minimal, principle-first guide to understanding and building LLMs from scratch.

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

:honeybee: A collection of awesome .NET core libraries, tools, frameworks and software

180+ Algorithm & Data Structure Problems using C++

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

Let's learn a new technology every week. A new technology blog every Sunday in 2016.

Guia de Ferramentas e Extensões: trilhas, ferramentas, extensões, geradores e assistentes de IA para você entrar e evoluir na área.

🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！

Curated tools and practices for self-hosting Java and JVM apps on VPS and small servers. Deployment, monitoring, security, and performance.

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

算法入门刷题规划：236 道题，覆盖 LeetCode、AtCoder、洛谷与 Codeforces；含章节题单、学习资料和离线交互网页。

A curated list of cloud emulators and local cloud development tools for AWS, Azure, and Google Cloud. Explore Moto, Azurite, LocalStack, Firebase, and more for integration testing and CI/CD.

Full-stack .NET Developer Roadmap

学习Agent开发的笔记，尝试让Agent从可用到可靠

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

Agent/前端/Golang/Java 面试题库 - 智能刷题工具，自定义 AI 接口，实现高效辅助学习

The AWS CloudFormation Public Coverage Roadmap

:mortar_board: All things Vim!

Python初学者（零基础学习Python、Python入门）书籍、视频、资料、社区推荐

🐾 OpenClaw 101 — 从零开始，7天掌握你的AI私人助理 | 全网资源聚合站

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Useful resources for creating apps with Electron [SUBMISSIONS ARE TEMPORARILY PAUSED BECAUSE I'M TIRED OF REVIEWING LOW-QUALITY STUFF]

Learn AI/ML for beginners with a roadmap and free resources.

Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents

✏️ Learn how to write a hash table in C

跨平台鼠标特效与输入可视化引擎：点击/轨迹/滚轮/悬停等效果，输入指示器叠加层，手势→快捷键自动化映射，可扩展 WASM 插件。 Cross-platform mouse effects & input visualization engine: click/trail/scroll/hover effects, indicator overlays, gesture→hotkey automation, extensible WASM plugins.

Curated list of data science interview questions and answers

A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning, LLMs, and agentic systems — focused on hands-on projects, practical tools, and real-world deployment.

A curated list of amazing projects that help you learn languages.

Claude Design DESIGN.md prompts by aesthetic family, remix recipes, skills, video teardowns, X signal, honest community takes.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.

This repository offers beginners in Python and JavaScript a look at the utilities that go into creating each of our programs. Each of these programs is detailed with comments so you can learn more about quantitative finance through code.

Everything you need to prepare for your technical interview

Preparation links and resources for system design questions

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

Learning operating system development using Linux kernel and Raspberry Pi

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

📖 Go 程序员面试笔试宝典 | 从问题切入，串连 Go 语言相关的所有知识，融会贯通。 https://golang.design/go-questions

Machine Learning Journal for Intermediate to Advanced Topics.

⚡️ A curated list of awesome things related to Vite.js

AI Code Guide is a roadmap to start coding with AI

Real machine coding & low-level design (LLD) interview questions asked at Amazon, Microsoft, Uber, Flipkart & more — mapped to design patterns, with reference solutions in 5 languages.

技术面试最后反问面试官的话

Build your neural network easy and fast, 莫烦Python中文教学