packquickly
PhD student at Oxford and previous resident at Google X working in sciML.
Oxford UniversityEurope
Pinned Repositories
diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
equinox
Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/
equinox_models
A repo for neural networks written in JAX+Equinox
flax
Flax is a neural network library for JAX that is designed for flexibility.
lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
schedule_free_optx
Schedule free optimiser implemented in JAX using Optimistix
lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
optimistix
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
packquickly's Repositories
packquickly/schedule_free_optx
Schedule free optimiser implemented in JAX using Optimistix
packquickly/equinox_models
A repo for neural networks written in JAX+Equinox
packquickly/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
packquickly/equinox
Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/
packquickly/flax
Flax is a neural network library for JAX that is designed for flexibility.
packquickly/lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
packquickly/packquickly
Github "about me"
packquickly/S5
packquickly/little_lambda
Function composition, the un-Pythonic way!
packquickly/optimistix
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
packquickly/zmk-config-corne