self-supervised
Unsupervised-Classification
self-supervised | Unsupervised-Classification | |
---|---|---|
2 | 2 | |
129 | 1,393 | |
3.1% | 1.9% | |
0.0 | 1.4 | |
about 2 years ago | over 1 year ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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self-supervised
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[P] solo-learn: a library of self-supervised methods for visual representation learning
W-MSE
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[R] ICLR rejected the submission only for missing large-scale ImageNet experiments
https://github.com/htdt/self-supervised it includes our method, byol and contrastive. I tried to keep the code nice and clean.
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 ?
What are some alternatives?
PASS - The PASS dataset: pretrained models and how to get the data
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
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.
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"