Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
updated at May 11, 2024, 4:48 p.m.
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
updated at May 11, 2024, 12:45 p.m.
Composable kernels for scikit-learn implemented in JAX.
updated at May 10, 2024, 4:43 p.m.