A comprehensive reference for all topics related to Natural Language Processing
GitHub repository with 2,036 stars and 279 forks.
Language: Python
Topics: nlp, naturallanguageprocessing, awesome-list, deeplearning, natural-language-processing, pandect
Trending score 0.04, activity score 0.04, stars gained +0, forks gained +0.
2026-06-02: 2,036 stars and 279 forks.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,304 stars and 33,418 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GitHub repository with 71,891 stars and 8,787 forks.
Trending score: 1.30; stars gained: +22; forks gained: +2.
Language: Python
Topics: fine-tuning, llama, llm, peft, transformers, rlhf
从零精通 AI 工程 · 20 阶段 468 课 · 中文全量翻译 + 配套站点 如何成为一名Agent 工程师 修成指南
GitHub repository with 36 stars and 12 forks.
Trending score: 0.95; stars gained: +8; forks gained: +1.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, chinese, chinese-translation
Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
GitHub repository with 103 stars and 15 forks.
Trending score: 0.81; stars gained: +5; forks gained: +2.
Language: Python
Topics: apache-age, concept-extraction, docker, fastapi, graph-database, knowledge-graph
Codebase for the implementaion of graph-rag system
GitHub repository with 35 stars and 12 forks.
Trending score: 0.78; stars gained: +4; forks gained: +0.
Language: Python
Topics: graph, knowledge-graph, llm, rag, nlp
A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning.
GitHub repository with 120 stars and 13 forks.
Trending score: 0.58; stars gained: +3; forks gained: +1.
Language: Python
Topics: arxiv, corpus, dataset, deep-learning, education, llm
The agent that grows with you
GitHub repository with 181,649 stars and 31,166 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,361 stars and 853 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,422 stars and 2,253 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,250 stars and 534 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,371 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,304 stars and 33,418 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest
Extracted system prompts from Anthropic - Claude Code, Claude Design, Opus 4.8, Sonnet 4.6. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex, Google - Gemini - 3.5 Flash, 3.1 Pro, Antigravity, xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
GitHub repository with 41,268 stars and 6,842 forks.
Trending score: 3.20; stars gained: +54; forks gained: +13.
Language: JavaScript
Topics: ai, anthropic, awesome, chatbot, chatgpt, claude
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
GitHub repository with 25,465 stars and 2,829 forks.
Trending score: 2.66; stars gained: +20; forks gained: +5.
Language: MDX
Topics: agent, agents, ai, gemini, generative-ai, gpt-4
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GitHub repository with 71,891 stars and 8,787 forks.
Trending score: 1.30; stars gained: +22; forks gained: +2.
Language: Python
Topics: fine-tuning, llama, llm, peft, transformers, rlhf
Minecraft-style voxel benchmark for comparing AI models (Arena + Sandbox)
GitHub repository with 244 stars and 17 forks.
Trending score: 1.14; stars gained: +13; forks gained: +0.
Language: TypeScript
Topics: ai, benchmark, llm, nlp, voxel, comparison-benchmarks
An open, large-scale, interactive textbook.
GitHub repository with 163 stars and 16 forks.
Trending score: 1.13; stars gained: +14; forks gained: +0.
Language: Jupyter Notebook
Topics: ai, computer-science, edcuational, learning-resources, data-science, deep-learning