- Berkeley, CA USA
- @mcmcescher
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Uncertainty quantification with PyTorch
Haskell Bindings for the OpenCASCADE CAD Kernel + A Declarative CAD/Solid Modeling Library
Official documentation for getting things done with Nix.
NIx Language server, an incremental analysis assistant for writing in Nix.
Research package for automatic differentiation of programs containing discrete randomness.
Optax is a gradient processing and optimization library for JAX.
Deploy with Nix and manage resources declaratively
A JAX research toolkit for building, editing, and visualizing neural networks.
Linear algebra foundation for the Rust programming language
Numerical Methods in Haskell with Applications to Data Analysis, Finance and Physics
Create a system tray menu from a YAML file with shell commands
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
lints and suggestions for the nix programming language
Functional teaching language for use in a discrete mathematics course
Higher Order Reverse Derivatives Efficiently - Automatic Differentiation library based on the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation"