Лучшие open source проекты: Обучающие материалы

A Chinese junior-high math knowledge graph with prerequisite diagnosis, aligned to the 2022 curriculum standards and the PEP grade 7-9 textbooks.

A step-by-step guide for setting up the fcitx5 input method framework with the Rime engine and rime-ice (雾凇拼音) scheme on Debian with GNOME Wayland.

Structured study notes in 18 modules covering Linux terminal, networking, permissions, scripting and kernel basics, based on the book Linux Basics for Hackers.

A curated collection of Claude Code skills, MCP servers and tools for producing video, covering Remotion, Manim, screen recording, YouTube clipping and FFmpeg.

A curated Markdown list of remote-work resources, including job boards, coliving spaces, interview tools, books, and remote-friendly companies.

A community-maintained list of AI models, APIs, and tools that can be used without paying, covering free tiers, open-weight models, and local inference tools.

An open-source, AI-powered study platform that turns documents into quizzes, flashcards, Cornell-style notes, and audio podcasts.

A curated awesome-list of robotics books, courses, simulators, software libraries, conferences, journals and competitions.

A curated Awesome-style list of platforms, tools, models and tutorials for running large language models locally.

A curated, README-based list of free, local, open-source voice-cloning TTS models and music generation models, with comparison tables.

A short introductory book on reinforcement learning, with PyTorch implementations of the algorithms it covers from MC to PPO.

A collection of 151 real DevOps, SRE and cloud engineering interview write-ups, organized by company.

A Chinese-language book documenting the DeepSeek Harness agent framework, based on hands-on runs of its system prompt, default boot config and session logs.

A collection of 45+ practical tips for using Claude Code, plus a custom status line script and the dx plugin of everyday dev skills.

Two free online books on harness engineering, analyzing how Claude Code and Codex keep AI coding agents bounded and accountable.

A curated Awesome list of resources, patterns, and templates for designing the scaffolding around AI agents: tools, memory, MCP, permissions, evals, and orchestration.

Companion code repository for the book AI Agents: The Definitive Guide, with Jupyter notebooks covering agent patterns, evaluation, memory, cost and security.

An Obsidian vault that regroups 2016–2026 Chinese civil service exam (国考/省考/联考) questions by knowledge point, with per-question annotated notes.

A collection of Python scripts for producing publication-quality figures in the style of top AI conferences and journals, plus an LLM skill for generating them.

Chinese Markdown edition of the CSAPP textbook with chapter text, exercise answers, Chinese lab guides and official lab packages.