Skip to main content

Multi-Modal Variational Graph Autoencoder for metabolic analysis

Project description

The author of this package has not provided a project description

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

mmmvgae-0.1.0.tar.gz (1.7 kB view details)

Uploaded Source

Built Distribution

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

mmmvgae-0.1.0-py3-none-any.whl (1.3 kB view details)

Uploaded Python 3

File details

Details for the file mmmvgae-0.1.0.tar.gz.

File metadata

  • Download URL: mmmvgae-0.1.0.tar.gz
  • Upload date:
  • Size: 1.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for mmmvgae-0.1.0.tar.gz
Algorithm Hash digest
SHA256 ab6684e292510a1ebba0be03b2c289b59c6df1dc898a87d957f1ae03f72f5496
MD5 b8acb5cbcb4e1e7c98b447845f878ac2
BLAKE2b-256 131552d5b6c8778405cb0b7bcf12670ce1f825ae4f40653e4800839c684208f4

See more details on using hashes here.

File details

Details for the file mmmvgae-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: mmmvgae-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 1.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for mmmvgae-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bc9ee6012deb7910db6e0c8c7db54096cd18ca009744da31b50856fd5440d282
MD5 cae52ec1ec489c3985885709b9e467ef
BLAKE2b-256 2c8ef3d1f4939e49ae39dfaf0bc25c13d257431b92c95d531ec6aa80d04fa1aa

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