A latent text-to-image diffusion model

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

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

The fastai book, published as Jupyter Notebooks

this repository accompanies the book "Grokking Deep Learning"

Recipes for using Python's pandas library

Python code for "Probabilistic Machine learning" book by Kevin Murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Tutorials and programming exercises for learning Q# and quantum computing

Data augmentation for NLP

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

A small package to create visualizations of PyTorch execution graphs

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

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Tensors, for human consumption

"Deep Generative Modeling": Introductory Examples

Lightweight, useful implementation of conformal prediction on real data.

Deep learning for molecules and materials book

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

Data, Benchmarks, and methods submitted to the M5 forecasting competition

100 exercises to learn JAX

Host repository for the "Reproducible Deep Learning" PhD course

Source code for ClimateLearn

All about the fundamental blocks of TF and JAX!

Polars Cookbook, Published by Packt

An interactive exploration of Transformer programming.