Interpolation and function approximation with JAX

How to train a CNN to 99% accuracy on MNIST in less than a second on a laptop

A free frontend for the conformal bootstrap

Fast and Easy Infinite Neural Networks in Python

Flax is a neural network library for JAX that is designed for flexibility.

Hopfield Networks is All You Need

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

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

Gaussian-Bernoulli Restricted Boltzmann Machines

FFCV: Fast Forward Computer Vision (and other ML workloads!)

scikit-learn: machine learning in Python

Methods to get the probability of a changepoint in a time series.

ruptures: change point detection in Python

A unified framework for machine learning with time series

Tool for modelling the CDRs of antibodies

Open source code for AlphaFold.

Senior Thesis on Geometric Langlands and N=4 Super Yang-Mills

Google Research

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

JAX-based neural network library

Solutions to all problems in Elias Kiritsis' "String Theory in a Nutshell"

A library for easy and efficient manipulation of tensor networks.

Repository for the Stacks Project

Dissertation Template for Harvard

Julia package for function approximation

A beautiful and useful prompt for your shell