PyLops – A Linear-Operator Library for Python

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Simulator of LVM data for testing DRP and DAP

Unitful Quantities in JAX

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Toturials coming with the "data science roadmap" picture.

A pythonic interface for radio astronomy interferometry data (uvfits, miriad, others)

Curated list of Python resources for data science.

Curated list of astronomy/astrophysics code packages using JAX

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Truly independent web browser

Stellarator Equilibrium and Optimization Suite

Elliptic integrals in Jax

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

JAX - A curated list of resources https://github.com/google/jax

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

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Optax is a gradient processing and optimization library for JAX.

Numerical quadrature with JAX

Orthogonal polynomials with JAX

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

Python wrapper for nuts-rs

Interpolation and function approximation with JAX

Probably the best curated list of data science software in Python.

Gaussian processes on graphs and lattices in Stan and pytorch.

The slow descent into madness

A simple JAX solver for the 2D Euler equations for benchmarking

Animation engine for explanatory math videos

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities