Transformer-SSL VS Unsupervised-Classification

Compare Transformer-SSL vs Unsupervised-Classification 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 Unsupervised-Classification
2 2
589 1,306
0.0% -
0.0 1.4
almost 3 years ago 9 months ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

Unsupervised-Classification

Posts with mentions or reviews of Unsupervised-Classification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-13.

What are some alternatives?

When comparing Transformer-SSL and Unsupervised-Classification you can also consider the following projects:

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

simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

self-supervised - Whitening for Self-Supervised Representation Learning | Official repository

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

Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

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

contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.

DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.

cs231n

SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".