Transformer-SSL VS pytorch-metric-learning

Compare Transformer-SSL vs pytorch-metric-learning and see what are their differences.

Transformer-SSL

This is an official implementation for "Self-Supervised Learning with Swin Transformers". (by SwinTransformer)
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Transformer-SSL pytorch-metric-learning
2 3
589 5,764
0.0% -
0.0 7.9
almost 3 years ago 28 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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Transformer-SSL

Posts with mentions or reviews of Transformer-SSL. We have used some of these posts to build our list of alternatives and similar projects.

pytorch-metric-learning

Posts with mentions or reviews of pytorch-metric-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-13.

What are some alternatives?

When comparing Transformer-SSL and pytorch-metric-learning you can also consider the following projects:

dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

lightly - A python library for self-supervised learning on images.

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

autogluon - Fast and Accurate ML in 3 Lines of Code

simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch

similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

ComboLoss - Official PyTorch Implementation for Paper <ComboLoss for Facial Attractiveness Analysis with Squeeze-and-Excitation Networks> (State-of-the-art Performance on 3 Popular Benchmark Dataset)