🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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A straightforward method for training your LLM, from downloading data to generating text.
TranslatedMachine learning tutorials
Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/
Pocket Flow: Codebase to Tutorial
A resource for learning about Machine learning & Deep Learning
- pytorch
- pytorch-implementation
- pytorch-tutorial
- pytorch-gan
TranslatedClaude Code + OpenClaw + Codex + WorkBuddy Chinese tutorials | 50 complete tutorials + 1 quick reference card | 800,000+ characters of content | 1,500+ hands-on examples | AI Coding / Agent four-track learning path (programming + assistant + Agent + office work)
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
- aws
- azure
- cloud-computing
- cloud-security
AI 视频制作工作流,涵盖分镜、素材、剪辑与导出。可看 AI 漫画成片,也可用仓库素材在本地重渲 Python 像素动画。
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.