Skip to main content

Libraries that support the development of machine learning models in PyTorch.

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

sfu_torch_lib-0.0.56.tar.gz (16.2 kB view details)

Uploaded Source

Built Distribution

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

sfu_torch_lib-0.0.56-py3-none-any.whl (21.0 kB view details)

Uploaded Python 3

File details

Details for the file sfu_torch_lib-0.0.56.tar.gz.

File metadata

  • Download URL: sfu_torch_lib-0.0.56.tar.gz
  • Upload date:
  • Size: 16.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.12.7 Linux/6.11.0-1018-azure

File hashes

Hashes for sfu_torch_lib-0.0.56.tar.gz
Algorithm Hash digest
SHA256 1025aa705ac552a32dec0d552ab5729d8821043380ce17569a6dbac6d84c2c2c
MD5 be9fd7b1a89a93fb1fe9dea4bacb2b8f
BLAKE2b-256 3905768a2ad7681c738097605d10b3a214ce15ef5ad223b4ae2de8ddeeaf73d0

See more details on using hashes here.

File details

Details for the file sfu_torch_lib-0.0.56-py3-none-any.whl.

File metadata

  • Download URL: sfu_torch_lib-0.0.56-py3-none-any.whl
  • Upload date:
  • Size: 21.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.12.7 Linux/6.11.0-1018-azure

File hashes

Hashes for sfu_torch_lib-0.0.56-py3-none-any.whl
Algorithm Hash digest
SHA256 35cae63aad892b8873a5ecc62aebb77cbea560ec4526179100d489e29339030c
MD5 420a6f10d1e6d653aff9fb69eabf5165
BLAKE2b-256 2fec7ee25ff3402b1165a53a65d3600ea6c32d891d33a3dcdb9ab9f3588b9c90

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