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

🐙 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.

Python Data Science Handbook: full text in Jupyter Notebooks

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

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.

The fastai deep learning library

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

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

Interactive Data Visualization in the browser, from Python

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"

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.

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.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

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.

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.

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

:notebook_with_decorative_cover: :books: A curated list of awesome resources : books, videos, articles about using Next.js (A minimalistic framework for universal server-rendered React applications)

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Custom Jupyter Notebook Themes

:notebook:Solutions to Introduction to Algorithms

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Multi-user server for Jupyter notebooks

Notebooks and code for the book "Introduction to Machine Learning with Python"