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patrick-kidger

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Building a JAX ecosystem: Equinox, Diffrax, Lineax, etc. ---- SciML, numerics, neural ODEs ---- Solo traveller, martial artist, scuba diver!

Funding Links: https://github.com/sponsors/patrick-kidger

GitHub Sponsors Profile

I work in scientific machine learning: combining deep learning with differential equations.
A few projects I'm proud of:

Differential equation solvers in JAX: Diffrax;
Differential equation solvers in PyTorch: torchsde, torchcde;
Tensor type annotations (inc. shape, dtypes, ...) for JAX/NumPy/PyTorch: jaxtyping;
Neural networks in JAX, elegantly: Equinox.

See also:

My personal website
My Google Scholar page

Please feel free to use my work without sponsorship! A few kind souls asked for this as a way to say thanks :)

Featured Works

google-research/torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Language: Python - Stars: 1624
patrick-kidger/diffrax

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

Language: Python - Stars: 1574
patrick-kidger/torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Language: Python - Stars: 434
patrick-kidger/equinox

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

Language: Python - Stars: 2286
patrick-kidger/torchtyping

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

Language: Python - Stars: 1421
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