Stars
The next generation Linux workstation, designed for reliability, performance, and sustainability.
Docker image with SYCL environment installed (compilation and runtime), the containers can be used with Docker or singularity
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous progra…
Repository to host custom configuration for Compute Canada's EasyBuild installation
Grid-based workflow management system for lattice field theory simulations
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
A Julia package for Flow-based sampling algorithm
STREAM, for lots of devices written in many programming models
Bayesian inference with probabilistic programming.
You should offer both Podman and Apptainer with name spaces on your HPC systems
Living Review of Machine Learning for Particle Physics
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
Relax! Flux is the ML library that doesn't make you tensor
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Extensible, Efficient Quantum Algorithm Design for Humans.
QUDA is a library for performing calculations in lattice QCD on GPUs.
Files supporting the FNAL/MILC all HISQ B decay project
Machine learning algorithms for many-body quantum systems