Skip to main content

SchNetPack - Deep Neural Networks for Atomistic Systems

Project description

SchNetPack aims to provide accessible atomistic neural networks that can be trained and applied out-of-the-box, while still being extensible to custom atomistic architectures

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for schnetpack, version 0.3
Filename, size File type Python version Upload date Hashes
Filename, size schnetpack-0.3-py3-none-any.whl (256.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size schnetpack-0.3.tar.gz (122.0 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page