Universal, autodiff-native software components for Simulation Intelligence. 📦

Streamlit application for TSADAR - AD-based Thomson Scattering Analysis software. It is hosted on AWS for simple browser-based access and runs on GPUs for rapid analysis

Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3

1D-1V Vlasov-Poisson(-Fokker-Planck), Plasma Physics PDE Simulation Tool in NumPy and experiment management in MLFlow

The Autograd Engine

Notebooks for running and diagnosing ADEPT workloads (sims, optimizations)

A differentiable cosmology library in JAX

Differentiable Diffusion Solver in JAX

Parsl - a Python parallel scripting library

A Python tool to visualize + enforce dependencies, using modular architecture 🌎 Open source 🐍 Installable via pip 🔧 Able to be adopted incrementally - ⚡ Implemented with no runtime impact ♾️ Intero…

Performant arrays where each dimension can have a named axis with values

Interpolation and function approximation with JAX

This Python 3 module helps you speedup generation of subplots in pseudo-parallel mode using matplotlib and multiprocessing. This can be useful if you are dealing with expensive preprocessing or plo…

Functions for calculating the Thomson scattering cross-section and spectra

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Mathematical operations for JAX pytrees

Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

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

The Thomson scattering diagnostic offers a method by which to infer plasma parameters such as n_e, T_e. This approach uses the form factor equations to estimate those plasma parameters by fitting t…

Automatic-Differentiation-Enabled Plasma Transport in JAX

Hybrid Vlasov-Fokker-Planck code for fast simulations of relativistic electron beam transport in a denser solid or plasma.

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

JAX/Flax implementation of finite-size scaling

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

A Graph Neural Network Library in Jax

Recipe for a General, Powerful, Scalable Graph Transformer

A collection of graph neural networks implementations in JAX