All-in-one RVC song cover toolkit for Google Colab: pull audio from YouTube, separate vocals, train a model, and run inference.
GitHub repository with 1,175 stars and 156 forks.
Language: Jupyter Notebook
Topics: ai, rvc, svc, song-cover
Trending score 1.13, activity score 0.00, stars gained +6, forks gained +0.
2026-06-13: 1,175 stars and 156 forks.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
GitHub repository with 27,904 stars and 3,373 forks.
Trending score: 3.34; stars gained: +77; forks gained: +10.
Language: Jupyter Notebook
Topics: rag, tutorials, langchain, llama-index, llms, python
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
Google Research
GitHub repository with 38,126 stars and 8,428 forks.
Trending score: 1.99; stars gained: +10; forks gained: +3.
Language: Jupyter Notebook
Topics: machine-learning, ai, research
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
All-in-one RVC song cover toolkit for Google Colab: pull audio from YouTube, separate vocals, train a model, and run inference.
GitHub repository with 1,175 stars and 156 forks.
Trending score: 1.13; stars gained: +6; forks gained: +0.
Language: Jupyter Notebook
Topics: ai, rvc, svc, song-cover
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
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 repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
GitHub repository with 27,904 stars and 3,373 forks.
Trending score: 3.34; stars gained: +77; forks gained: +10.
Language: Jupyter Notebook
Topics: rag, tutorials, langchain, llama-index, llms, python
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 5,322 stars and 4,521 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
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 192,271 stars and 33,521 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 82,585 stars and 9,523 forks.
Trending score: 4.64; stars gained: +171; forks gained: +18.
Language: Python
Topics: agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
GitHub repository with 49,128 stars and 5,184 forks.
Trending score: 4.48; stars gained: +331; forks gained: +50.
Language: Rust
Topics: acp, ai, ai-agents, mcp