Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
GitHub repository with 4,608 stars and 753 forks.
Language: Python
Topics: machine-learning, artificial-intelligence, neural-networks, deep-learning, reinforcement-learning, physics-simulation, mujoco
Trending score 0.48, activity score 0.04, stars gained +2, forks gained +0.
2026-06-05: 4,608 stars and 753 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 161,297 stars and 33,416 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
Ultralytics YOLO 🚀
GitHub repository with 58,010 stars and 11,142 forks.
Trending score: 3.37; stars gained: +92; forks gained: +16.
Language: Python
Topics: cli, computer-vision, deep-learning, hub, image-classification, instance-segmentation
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
GitHub repository with 26,302 stars and 5,813 forks.
Trending score: 3.17; stars gained: +43; forks gained: +7.
Language: Python
Topics: agentops, agents, ai, ai-governance, apache-spark, evaluation
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
GitHub repository with 11,404 stars and 1,060 forks.
Trending score: 3.05; stars gained: +45; forks gained: +5.
Language: Python
Topics: ai-research, autonomous-agent, claude-code, codex, mcp, ml-research
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
GitHub repository with 21,307 stars and 1,126 forks.
Trending score: 2.54; stars gained: +20; forks gained: +7.
Language: Python
Topics: notebooks, python, data-science, machine-learning, artificial-intelligence, data-visualization
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,829 stars and 4,264 forks.
Trending score: 2.52; stars gained: +25; forks gained: +4.
Language: Python
Topics: python, machine-learning, data-science, deep-learning, data-visualization, streamlit
The agent that grows with you
GitHub repository with 181,370 stars and 31,123 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 12,942 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,327 stars and 2,249 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 29,986 stars and 4,219 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 4,221 stars and 528 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 301,341 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 161,297 stars and 33,416 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
GitHub repository with 163,307 stars and 21,224 forks.
Trending score: 3.59; stars gained: +95; forks gained: +10.
Language: HTML
Topics: ai, artificial-intelligence, awesome-list, chatgpt, chatgpt-prompts, claude
Ultralytics YOLO 🚀
GitHub repository with 58,010 stars and 11,142 forks.
Trending score: 3.37; stars gained: +92; forks gained: +16.
Language: Python
Topics: cli, computer-vision, deep-learning, hub, image-classification, instance-segmentation
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 41,262 stars and 6,839 forks.
Trending score: 3.20; stars gained: +54; forks gained: +13.
Language: JavaScript
Topics: ai, anthropic, awesome, chatbot, chatgpt, claude
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
GitHub repository with 26,302 stars and 5,813 forks.
Trending score: 3.17; stars gained: +43; forks gained: +7.
Language: Python
Topics: agentops, agents, ai, ai-governance, apache-spark, evaluation
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
GitHub repository with 11,404 stars and 1,060 forks.
Trending score: 3.05; stars gained: +45; forks gained: +5.
Language: Python
Topics: ai-research, autonomous-agent, claude-code, codex, mcp, ml-research