Stars
The fastai book, published as Jupyter Notebooks
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
This repository contains implementations and illustrative code to accompany DeepMind publications
Flax is a neural network library for JAX that is designed for flexibility.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Grokking Deep Reinforcement Learning
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
Neural Graph Differential Equations (Neural GDEs)
Loop Kernel Analysis and Performance Modeling Toolkit
Algorithms for optimization of Julia expressions
Create ensembles of machine learning models from scikit-learn, caret, and julia
The repository for JuliaCon2021 workshop "Package development: improving engineering quality & latency"
A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas