Machine learning with dataframes
GitHub repository with 1,618 stars and 236 forks.
Language: Python
Topics: machine-learning, data-science, data-cleaning, data, data-preparation, data-preprocessing, data-analysis, dirty-data, data-wrangling, dataframe
Trending score 0.49, activity score 0.05, stars gained +2, forks gained +2.
2026-06-05: 1,618 stars and 236 forks.
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
🤗 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 161,308 stars and 33,419 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest
Ultralytics YOLO 🚀
GitHub repository with 58,032 stars and 11,147 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 26,312 stars and 5,812 forks.
Trending score: 3.17; stars gained: +43; forks gained: +7.
Language: Python
Topics: agentops, agents, ai, ai-governance, apache-spark, evaluation
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 21,312 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
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,779 stars and 7,642 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: ray, distributed, parallel, machine-learning, reinforcement-learning, deep-learning
The agent that grows with you
GitHub repository with 181,873 stars and 31,205 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 13,768 stars and 870 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 27,484 stars and 2,256 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
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,396 stars and 28,042 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
🤗 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 161,308 stars and 33,419 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest
Ultralytics YOLO 🚀
GitHub repository with 58,032 stars and 11,147 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 41,275 stars and 6,843 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 26,312 stars and 5,812 forks.
Trending score: 3.17; stars gained: +43; forks gained: +7.
Language: Python
Topics: agentops, agents, ai, ai-governance, apache-spark, evaluation
The fastest path to AI-powered full stack observability, even for lean teams.
GitHub repository with 79,065 stars and 6,456 forks.
Trending score: 3.03; stars gained: +25; forks gained: +4.
Language: C
Topics: ai, alerting, cncf, data-visualization, database, devops