Skip to main content

MolDes python package

Project description

MolDes python package to create descriptor based on Coulomb matrix (CM_util); Gershgorin circle theorem (GCT_util); and Graph convolution network (GCN_util)

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

MolDes-0.0.2.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

MolDes-0.0.2-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file MolDes-0.0.2.tar.gz.

File metadata

  • Download URL: MolDes-0.0.2.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.7

File hashes

Hashes for MolDes-0.0.2.tar.gz
Algorithm Hash digest
SHA256 10b4e2df09846e92baac2515ebd99225611268e4827a6f2b2b01e4c74b7b8ed9
MD5 df9399ab3b431cbb1c5e8ca722af0818
BLAKE2b-256 270ca93f58d23d0c3e1f13417bab486d99a98bacdcbf0c4530baa916a41aadfb

See more details on using hashes here.

File details

Details for the file MolDes-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: MolDes-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.7

File hashes

Hashes for MolDes-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9d1bf513c930016453730c20ff2bfcee653d7c2eb828c91ea23891c1bb58d854
MD5 64f6e61155decc724c0d04ee1e210b9e
BLAKE2b-256 1e9d446bf65caef38574bc4d185e715155a01b144f390cee6f6d1c05507b1a51

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