Collaborative Metric Learning implemented by Pytorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for hand10ryo from gravatar.com hand10ryo

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: hand10ryo
  • Requires: Python >=3.7.10, <3.10
Classifiers

Project description

Pytorch CML

Collaborative Metric Learning implemented by pytorch

Usage

  1. Set model, optimizer, loss, sampler and evaluator.
  2. Input these to trainer.
  3. Run fit method.

See examples for detail.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for hand10ryo from gravatar.com hand10ryo

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: hand10ryo
  • Requires: Python >=3.7.10, <3.10
Classifiers

Release history Release notifications | RSS feed

0.3.1

0.3.0

0.2.7

0.2.6

This version

0.2.5

Download files

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

Source Distribution

PytorchCML-0.2.5.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

PytorchCML-0.2.5-py3-none-any.whl (22.2 kB view details)

Uploaded Python 3

File details

Details for the file PytorchCML-0.2.5.tar.gz.

File metadata

  • Download URL: PytorchCML-0.2.5.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.8 CPython/3.9.6 Linux/5.8.0-1039-azure

File hashes

Hashes for PytorchCML-0.2.5.tar.gz
Algorithm Hash digest
SHA256 c8d05c0f7366794b9674caca6882987e04878d20a5c3372468f5ed67877523d6
MD5 7702c5171616e10d0a48096e59f06535
BLAKE2b-256 b29b7d540350ee949fa9dd8f4a65cc5b59c4566c25b663fb1a8fe408d4a80e5a

See more details on using hashes here.

File details

Details for the file PytorchCML-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: PytorchCML-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 22.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.8 CPython/3.9.6 Linux/5.8.0-1039-azure

File hashes

Hashes for PytorchCML-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e3c92eaa53b6ae2aa4d8157e1932351247cf97098ad4a2144afd90a26769717f
MD5 113610b2a72e03d05cea2261f5fa34e9
BLAKE2b-256 7606e8ba5cc6902163c7f7c40f80f0b28e8cd58a1fed40719357cd9d2234f4a1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page