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JAX scientific ML ecosystem:

Probably the reason you're here. I would highlight:

  1. Equinox: elegant neural networks. GitHub Repo stars

  2. Diffrax: numerical ODE/SDE solvers. GitHub Repo stars

  3. jaxtyping: shape/dtype annotations for arrays. GitHub Repo stars

  4. Lineax: linear/least-squares solvers. GitHub Repo stars (new!)

  5. Optimistix: root finding, least squares, etc. GitHub Repo stars (new!)

Other links:

Me:

I currently wear multiple hats across bio/ML/CS at Cradle.bio. These days I am generally interested in scientific ML, and specifically the application of ML to unsolved problems in biology!

I also hold an honorary lectureship at Imperial College London. In past lives I previously wore the same multitude of hats at Google X, and did my PhD at the University of Oxford.

Patrick Kidger's Projects

adventuregame icon adventuregame

The very start of a game I was toying with before I got distracted by the PhD...

beartype icon beartype

Unbearably fast near-real-time runtime type-checking in pure Python.

candle icon candle

Simple PyTorch helpers. (I think we've probably all written one of these for ourselves!)

diffrax icon diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

dissertation icon dissertation

Master's Dissertation: Polynomial Approximation of Holomorphic Functions

equinox icon equinox

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

eqxvision icon eqxvision

A Python package for computer vision models in the Equinox ecosystem.

exvoker icon exvoker

A CLI tool. Extract regexes from stdout (e.g. URLs) and invoke commands on them (e.g. open the webpage).

fasterneuraldiffeq icon fasterneuraldiffeq

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

haliax icon haliax

Named Tensors for Legible Deep Learning in JAX

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jaxtyping icon jaxtyping

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

levanter icon levanter

Legibile, Scalable, Reproducible Foundation Models with Named Tensors and Jax

lineax icon lineax

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

neuralcde icon neuralcde

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

optimistix icon optimistix

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

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