A python library for self-supervised learning on images.
GitHub repository with 3,759 stars and 327 forks.
Language: Python
Topics: deep-learning, self-supervised-learning, machine-learning, computer-vision, pytorch, embeddings, contrastive-learning, hacktoberfest, contributions-welcome
Trending score 0.88, activity score 0.04, stars gained +1, forks gained +0.
2026-06-05: 3,759 stars and 327 forks.
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 2,910 stars and 204 forks.
Trending score: 3.92; stars gained: +201; forks gained: +18.
Language: Python
Topics: agent, ai, ai-agents, deep-learning, foundation-models, llm
🤗 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 161,286 stars and 33,414 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 58,000 stars and 11,139 forks.
Trending score: 3.37; stars gained: +92; forks gained: +16.
Language: Python
Topics: cli, computer-vision, deep-learning, hub, image-classification, instance-segmentation
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,828 stars and 4,262 forks.
Trending score: 2.52; stars gained: +25; forks gained: +4.
Language: Python
Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning
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 42,770 stars and 7,635 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
We write your reusable computer vision tools. 💜
GitHub repository with 39,983 stars and 3,605 forks.
Trending score: 2.06; stars gained: +153; forks gained: +23.
Language: Python
Topics: classification, coco, computer-vision, deep-learning, hacktoberfest, image-processing
The agent that grows with you
GitHub repository with 180,962 stars and 31,041 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 12,420 stars and 807 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 27,211 stars and 2,239 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-writing, ai-research, claude, claude-code, literature-review, peer-review
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,042 stars and 20,111 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
GitHub repository with 40,750 stars and 38,939 forks.
Trending score: 4.88; stars gained: +836; forks gained: +443.
Language: Python
Topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance
GitHub repository with 29,960 stars and 4,217 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 2,910 stars and 204 forks.
Trending score: 3.92; stars gained: +201; forks gained: +18.
Language: Python
Topics: agent, ai, ai-agents, deep-learning, foundation-models, llm
🤗 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 161,286 stars and 33,414 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 58,000 stars and 11,139 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 41,254 stars and 6,839 forks.
Trending score: 3.20; stars gained: +54; forks gained: +13.
Language: JavaScript
Topics: ai, anthropic, awesome, chatbot, chatgpt, claude
An Open Source Machine Learning Framework for Everyone
GitHub repository with 195,414 stars and 75,346 forks.
Trending score: 2.54; stars gained: +22; forks gained: -7.
Language: C++
Topics: deep-learning, deep-neural-networks, distributed, machine-learning, ml, neural-network
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,828 stars and 4,262 forks.
Trending score: 2.52; stars gained: +25; forks gained: +4.
Language: Python
Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning