榜单积累中
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2026-11-11 · Jupyter Notebook · 日飙升榜Daily Growth Top 50 · 每日快照daily snapshot
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A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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This is a repo with links to everything you'd ever want to learn about data engineering
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A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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Learn how to develop, deploy and iterate on production-grade ML applications.
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End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
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Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
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本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
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A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
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Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
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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.
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[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
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