Pinned Repositories
acts
Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
mace
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
sGDML
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
sphinx-example
Example and cheat sheet for the Sphinx Python documentation generator.
V1
FFAST
sGDML
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
PDynA
Python package to analyse the structural dynamics of perovskites
AntonCh-G's Repositories
AntonCh-G/acts
Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++
AntonCh-G/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
AntonCh-G/mace
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
AntonCh-G/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
AntonCh-G/sGDML
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
AntonCh-G/sphinx-example
Example and cheat sheet for the Sphinx Python documentation generator.
AntonCh-G/V1