Skip to main content

A framework for training contrastive learning models in PyTorch. It makes it easy to add a contrastive layer to a pre-trained model or add it to an existing code base.

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_contrastive_framework-0.1.0.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

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

torch_contrastive_framework-0.1.0-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

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

File metadata

File hashes

Hashes for torch_contrastive_framework-0.1.0.tar.gz
Algorithm Hash digest
SHA256 a534cc2c245feab2ffb5bccf4fe3aaeb576519e27c1ae02758e043789583bc94
MD5 badb7d483dc8fa17bb38d57e5b2f06a3
BLAKE2b-256 4ade35a32e90937846e8f0d3e029d3eda3350669fa5c64d30b64b94c912f4f2c

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for torch_contrastive_framework-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 075e423c0ef37da186c19e9c52f4c78b17055f7d5ead0201ac221c670746d7f9
MD5 7416aa332a4d617e36eb1aa04762b764
BLAKE2b-256 2da6cfb65d9eaf6f3ae845604a9681a0b75283ac8841adf931e414e20d631df3

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