Scalable and user friendly neural :brain: forecasting algorithms.
GitHub repository with 4,141 stars and 491 forks.
Language: Python
Topics: deep-learning, forecasting, esrnn, nbeats, nbeatsx, time-series, pytorch, transformer, nhits, neural-network
2026-06-04: 4,141 stars and 491 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
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 3,133 stars and 231 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 161,308 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
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,830 stars and 4,264 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 42,777 stars and 7,639 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
The agent that grows with you
GitHub repository with 181,787 stars and 31,191 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 27,484 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
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
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
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 3,133 stars and 231 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 161,308 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
An Open Source Machine Learning Framework for Everyone
GitHub repository with 195,550 stars and 75,351 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