Skip to main content

This package contains building blocks for the atomistic machine learning models based on PyTorch and NumPy.

Download files

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

Source Distribution

metatensor_learn-0.6.0.tar.gz (26.3 kB view details)

Uploaded Source

Built Distribution

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

metatensor_learn-0.6.0-py3-none-any.whl (34.0 kB view details)

Uploaded Python 3

File details

Details for the file metatensor_learn-0.6.0.tar.gz.

File metadata

  • Download URL: metatensor_learn-0.6.0.tar.gz
  • Upload date:
  • Size: 26.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for metatensor_learn-0.6.0.tar.gz
Algorithm Hash digest
SHA256 c3f3726a3932b1ead7327b7fccbc9f251058894ff86fe39605cf601f187acdf4
MD5 dff871114fa65cc8591f66abd98a39f8
BLAKE2b-256 c2b47af25d1d1bc78837631c4e7dbfff1678648866e4be6cb329a86bcd2a1d39

See more details on using hashes here.

File details

Details for the file metatensor_learn-0.6.0-py3-none-any.whl.

File metadata

File hashes

Hashes for metatensor_learn-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 25561129798f8d553cd61590bfd2df0fbe5389d15142ca2714fd772b5551ca8a
MD5 38a1ccf4615f69dd10ec4e3e82c79543
BLAKE2b-256 4ee57e6a8e60c991887541f8a52db7dda85cf61cd5bd0720c8d17c008f6e7141

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 Sentry Error logging StatusPage Status page