Skip to main content

Layer-by-layer visualizer for PyTorch models

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

torch_anatomy-0.1.0.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

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

torch_anatomy-0.1.0-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: torch_anatomy-0.1.0.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for torch_anatomy-0.1.0.tar.gz
Algorithm Hash digest
SHA256 c418837ba992908a34bc668924171679a9cef1f69e9f0e566b33312024b074be
MD5 5ca73708faf45856df4740d06d863460
BLAKE2b-256 04283d8fc0d047bae773bf51d97b05c02484dc15291eaa4ec685cc4b1ba4984a

See more details on using hashes here.

File details

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

File metadata

  • Download URL: torch_anatomy-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for torch_anatomy-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b980ae0f96fdfcb99c1b0e34c016b31629d06616c02d6b82ccc501a533080fe1
MD5 eeb9b8a72c3c4442cf7b767776da47ad
BLAKE2b-256 568eba5817c7f1dff447abf5c980ead72d4560de083c3226b464971352535042

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