12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

Learn how to develop, deploy and iterate on production-grade ML applications.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

A game theoretic approach to explain the output of any machine learning model.

A guidance language for controlling large language models.

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 th…

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Data and code behind the articles and graphics at FiveThirtyEight

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

This repository contains demos I made with the Transformers library by HuggingFace.

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

A collection of pre-trained, state-of-the-art models in the ONNX format

The "Python Machine Learning (2nd edition)" book code repository and info resource

An annotated implementation of the Transformer paper.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Jupyter notebooks for the Natural Language Processing with Transformers book

A collection of infrastructure and tools for research in neural network interpretability.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Probabilistic reasoning and statistical analysis in TensorFlow

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Open-source demos hosted on Dash Gallery

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Introduction to Deep Neural Networks with Keras and Tensorflow

Beaker Extensions for Jupyter Notebook

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"