AI

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

Courses

A few notes about GPUs

Preamble to GPU 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 models with the JAX AI stack

A brief overview of  

Traditional ML with scikit-learn

Webinars

AI-powered coding with  

Model version control with

Accelerated array & autodiff 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