DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Solving particle transport equations using stochastic method

A header-only C++ library for sketching in randomized linear algebra

FreeGSNKE: A Python code for evolutive free-boundary tokamak plasma equilibrium simulations

Class website

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Livermore Big Artificial Neural Network Toolkit

Training and serving large-scale neural networks with auto parallelization.

For IMPACT-Z beam dynamics code users and developers

All pdfs of Victor Eijkhout's Art of HPC books and courses

Approximation of Nearly-Periodic Symplectic Maps via Structure-Preserving Neural Networks

Create parametric 3D fusion reactor CAD and neutronics models

Vectorized Plasma PIC code (Python)

Extended MHD code

Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.

Code for paper "Multiple Physics Pretraining for Physical Surrogate Models

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

A Julia framework for invertible neural networks

A collection of files that can be used as inputs in the codes commonly used in the Plasma Physics community.

Python interface for libROM, library for reduced order models

A Python library for training neural ODEs.

Amanzi primary repository

A hyperparameter optimization framework