Skip to main content

SEING is a C/C++ package for fingerprint calculations suitable for machine learning studies of molecular systems.

Project description

SEING was developed in the Clancy Group (https://clancygroup.wse.jhu.edu/). Fingerprints (in this context) are numerical representations of chemical environments designed to be invariant under property-perseving operations such as permutation of atoms of the same nature, geometric rotation, etc. For more information on fingerprints in general and the ones currently implemented in SEING, please see the official documentation and user-guide.

Project details


Download files

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

Source Distribution

pyseing-0.1.6.tar.gz (31.8 kB view details)

Uploaded Source

File details

Details for the file pyseing-0.1.6.tar.gz.

File metadata

  • Download URL: pyseing-0.1.6.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.4.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.8

File hashes

Hashes for pyseing-0.1.6.tar.gz
Algorithm Hash digest
SHA256 aa9f381fea2c9ce3dcc1262103b01b34f1683bc7ae7f0c75b0942cb1befcce72
MD5 a0ca6386d3147f357714d2293a6968b5
BLAKE2b-256 ce44f1fd8074a9e8ea930649fdd4cc1932b2d070b7a2115a9774780c018065c1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page