Stars
3D electromagnetic time-domain solver, specialized in wake potential and beam-coupling impedance computation for particle accelerators
Small utility fork of nequip to port NequIP models to OpenKIM compatible format
DistMLIP: A Distributed Inference Library for Fast, Large Scale Atomistic Simulation
A feature-rich command-line audio/video downloader
Materials science with Python at the atomic-scale
An extension of the existing KoboTouch driver provided with Calibre. This plugin allows modifying ePub files to enable extra Kobo features. I am providing code in the repository to you under an ope…
The main platform for sharing all the information about AI/HPC-related containers at C3SE. See also the included tutorial to get started.
MPI benchmark to test and measure collective performance
This is a simple and streamlined implementation of an ensemble calculator in ASE for active learning methods within machine learning
Implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)
Deep convolutional neural networks to restore single-shot electron microscopy images
A python library for the quantification of eels spectra based on a modernised EELSMODEL
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
A self-contained and simple BIP39 implemenation in python
A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
A simple and fast python library to handle the data generated from molecular dynamics simulations
System technical documentation for Niflheim
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Package to use an FCN to learn defects from STEM imaging
A collection of easyconfig files that describe which software to build using which build options with EasyBuild.
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks