AI

Deep learning with  
Fast computing with  
JAX neural networks with  
Faster IO & model training with  
Traditional machine learning with  

Courses

Getting started with  

An intro course to DL with PyTorch

Fast computing with

An intro course to JAX

JAX NN with

A DL course with Flax

Deep learning with  

Training with the JAX AI stack

A brief overview of  

Traditional ML with scikit-learn

Notes about GPUs

Preamble to GPU courses

Webinars

AI-powered coding with  

Model versioning with

Accelerated array & AD with

Experiment tracking with

Map of current ML frameworks

Image upscaling with NN

Easier    with fastai

DL in with

  tensors in depth

Bayesian inference in

 

 

Workshops

 audio DataLoader

Finding pre-trained models

Intro ML for the humanities

Intro to DL, NLP, and LLMs