《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
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《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
15 motion design styles, each made by Claude Opus 5.5 writing code from one prompt: watch the films, copy the prompts, read the full source.
Rated, auto-refreshed list of decompiled, recompiled & reverse-engineered games: decomps, static recomps, source ports, engine remakes, browser ports.
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
RUN · 润:海外移居手册(欧洲 36 国 · 110 条路线 · 主要移民地区)
Introduction to Semiconductor Manufacturing
Don't reverse engineer it twice. 17,000+ open-source tools built by reverse engineering closed apps, APIs, devices, protocols, file formats, games and AI tools. Search site + agent skill + MCP server, refreshed nightly.
Implementing LLM architectures from scratch in PyTorch
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
Awesome Reverse Engineering Anything: tools, projects, case studies and research papers for websites, games, apps, binaries, firmware and communication protocols.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
Awesome list of AI reverse engineering and rebuilds: what AI agents took apart and recreated, and which ones really used REA (Reverse Engineer Anything).
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
A curated collection of REA and AI-assisted reverse engineering cases, projects, and ideas. Updated every four hours.
Unofficial Claude Skill derived from the book Refactoring UI — a design rulebook and diagnostic layer for web UI. 151 tracked rules, design token generation, and Tailwind mappings.
A curated list of AI-assisted reverse engineering: decompilation, recompilation and native ports, with how each project verifies correctness
An opinionated, curated list of tools for enforcing software development standards: one recommended tool per job, with limits.
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.