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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
schnetpack-2.0.0.tar.gz
(160.7 kB
view hashes)
Built Distribution
schnetpack-2.0.0-py3-none-any.whl
(224.6 kB
view hashes)
Close
Hashes for schnetpack-2.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ef3b1272afa18971c22970647cd400a5395e63b4e028a1adbf8958b3a80fd5cc |
|
MD5 | 9ec32c57319dc9ed21fa47f58936d4d6 |
|
BLAKE2b-256 | 52d47195e37fb526329ab9eda0c97a952c18346afe27f68bb09629dfd8760eab |