The easiest way to use deep metric learning for pair data. Written in PyTorch.
Project description
Metric Learning for Pair Data
The easiest way to use deep metric learning for pair data. Written in PyTorch.Licence
The MIT License (MIT)
Copyright (c) 2020 Rikiya Suzuki
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pair_learning-0.1.1.tar.gz
(4.5 kB
view details)
Built Distribution
File details
Details for the file pair_learning-0.1.1.tar.gz.
File metadata
- Download URL: pair_learning-0.1.1.tar.gz
- Upload date:
- Size: 4.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d4600afe3219c4cff095da545ad6542c06d8690a44e73ef4390caba0c49edca4
|
|
| MD5 |
b8b45953d10d8ade1c0345edd5776edd
|
|
| BLAKE2b-256 |
7a60f3bb7ff458c6467248c8786752d46ddeaacf2917038330bc6a4d9fad6373
|
File details
Details for the file pair_learning-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pair_learning-0.1.1-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0e257ef72e6527237b1745d9caf1a143fe3dac8d68ec47c60e208b6934b832f6
|
|
| MD5 |
e6c50ab9beb3e747dd51ff8861b30bd8
|
|
| BLAKE2b-256 |
5f12dec5bee4c1566b75b1ceb5b8ea6f7666d13bf7f757397c8aedb410858e36
|
