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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A latent text-to-image diffusion model

Python Data Science Handbook: full text in Jupyter Notebooks

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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

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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Companion webpage to the book "Mathematics For Machine Learning"

A multi-voice TTS system trained with an emphasis on quality

Jupyter Interactive Notebook

The "Python Machine Learning (1st edition)" book code repository and info resource

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

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Book about interpretable machine learning

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…

Open-source demos hosted on Dash Gallery

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Making Protein folding accessible to all!

Single-document unsupervised keyword extraction

A site that displays up to date COVID-19 stats, powered by fastpages.

Code for the ProteinMPNN paper

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Differentiable, Hardware Accelerated, Molecular Dynamics

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.