Stars
A snappy + easy + pretty TUI debugger for Python.
An extremely fast Python package and project manager, written in Rust.
The fundamental package for scientific computing with Python.
CVQP: An operator splitting method for large-scale CVaR-constrained quadratic programs
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Seamless operability between C++11 and Python
A Python-embedded modeling language for convex optimization problems.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.