Unsupervised-Classification
vectorrvnn
| Unsupervised-Classification | vectorrvnn | |
|---|---|---|
| 2 | 1 | |
| 1,308 | 7 | |
| - | - | |
| 1.4 | 6.2 | |
| 9 months ago | 7 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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Unsupervised-Classification
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Middle ground dataset between CIFAR and ImageNet [D]
The subsets we used are from here: https://github.com/wvangansbeke/Unsupervised-Classification/tree/master/data/imagenet_subsets
- Any reference or idea about how to train unsupervised CNN model ?
vectorrvnn
What are some alternatives?
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
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.
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".
lightly - A python library for self-supervised learning on images.