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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

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.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Python Data Science Handbook: full text in Jupyter Notebooks

An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作

Build your personal knowledge base with Trilium Notes

An Open Source implementation of Notebook LM with more flexibility and features

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

The fastai book, published as Jupyter Notebooks

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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.

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.

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Machine Learning Toolkit for Kubernetes

A fully open source & end-to-end encrypted note taking alternative to Evernote.

100 numpy exercises (with solutions)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Jupyter Interactive Notebook

🥗 All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching.

PRML algorithms implemented in Python