published Published 2 months ago
brains-py, A framework to support research on energy-efficient unconventional hardware for machine learning
Python
@ualegre
@pitmonticone
@lucasmccabe
published Published over 1 year ago
UnlockNN: Uncertainty quantification for neural network models of chemical systems
Python PureBasic
@a-ws-m
published Published over 2 years ago
netrd: A library for network reconstruction and graph distances
Python
@sdmccabe
published Published over 2 years ago
BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia
Julia
@sylvaticus
published Published almost 3 years ago
nap: A molecular dynamics package with parameter-optimization programs for classical and machine-learning potentials
M4 Python Fortran
@ryokbys
published Published almost 4 years ago
refsplitr: Author name disambiguation, author georeferencing, and mapping of coauthorship networks with Web of Science data
R
@embruna
published Published over 4 years ago
@muehlhaus
