Agri-Vision is an AI-powered cotton crop analysis system that uses deep learning and computer vision to detect growth stages, identify crop health issues, and provide smart recommendations through a Flask-based web interface and REST API.
GitHub repository with 25 stars and 96 forks.
Language: Jupyter Notebook
Topics: ai, gssoc-26, jupyter-notebook, python
Trending score 0.85, activity score 0.05, stars gained +1, forks gained +3.
2026-06-13: 25 stars and 96 forks.
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,480 stars and 660 forks.
Trending score: 2.21; stars gained: +11; forks gained: +2.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
A hands-on course for building modern LLMs from scratch in PyTorch, with 26 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
GitHub repository with 62 stars and 12 forks.
Trending score: 1.35; stars gained: +3; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, attention, finetune, gpt, large-language-models, llm
Agri-Vision is an AI-powered cotton crop analysis system that uses deep learning and computer vision to detect growth stages, identify crop health issues, and provide smart recommendations through a Flask-based web interface and REST API.
GitHub repository with 25 stars and 96 forks.
Trending score: 0.85; stars gained: +1; forks gained: +3.
Language: Jupyter Notebook
Topics: ai, gssoc-26, jupyter-notebook, python
AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance
GitHub repository with 145 stars and 19 forks.
Trending score: 0.67; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: basketball, data-science, machine-learning, nba, nba-predictions, open-source
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
GitHub repository with 457 stars and 63 forks.
Trending score: 0.61; stars gained: +1; forks gained: -1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, cnn, data-science, deep-learning, jupyter-notebook
AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.
GitHub repository with 20 stars and 7 forks.
Trending score: 0.53; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: ai, classification, clustering, genai, llm, ml
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 6,282 stars and 1,118 forks.
Trending score: 3.58; stars gained: +89; forks gained: +24.
Language: Jupyter Notebook
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
GitHub repository with 4,180 stars and 748 forks.
Trending score: 3.46; stars gained: +80; forks gained: +19.
Language: Jupyter Notebook
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
GitHub repository with 16,518 stars and 5,394 forks.
Trending score: 3.00; stars gained: +32; forks gained: +13.
Language: Jupyter Notebook
Topics: csharp, java, javascript, mcp, mcp-client, mcp-security
Repo for the Complete Agentic AI Engineering Course
GitHub repository with 5,324 stars and 4,524 forks.
Trending score: 2.69; stars gained: +12; forks gained: +18.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 74,142 stars and 12,548 forks.
Trending score: 2.69; stars gained: +27; forks gained: +0.
Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,125 stars and 426 forks.
Trending score: 2.61; stars gained: +26; forks gained: +1.
Language: Jupyter Notebook
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 24,986 stars and 1,636 forks.
Trending score: 5.73; stars gained: +2,844; forks gained: +202.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
The agent that grows with you
GitHub repository with 192,317 stars and 33,528 forks.
Trending score: 5.48; stars gained: +990; forks gained: +282.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
A collection of MCP servers.
GitHub repository with 88,981 stars and 11,516 forks.
Trending score: 4.80; stars gained: +147; forks gained: +157.
Topics: ai, mcp
The API to search, scrape, and interact with the web at scale. 🔥
GitHub repository with 132,084 stars and 7,777 forks.
Trending score: 4.77; stars gained: +854; forks gained: +24.
Language: TypeScript
Topics: ai, ai-agents, ai-crawler, ai-scraping, ai-search, crawler
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
GitHub repository with 82,613 stars and 9,527 forks.
Trending score: 4.64; stars gained: +171; forks gained: +18.
Language: Python
Topics: ai, ai-agents, context-engine, llm-apps, rag, retrieval-augmented-generation
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
GitHub repository with 49,142 stars and 5,187 forks.
Trending score: 4.48; stars gained: +331; forks gained: +50.
Language: Rust
Topics: acp, ai, ai-agents, mcp