contrastive-reconstruction
Unsupervised-Classification
| contrastive-reconstruction | Unsupervised-Classification | |
|---|---|---|
| 1 | 2 | |
| 13 | 1,366 | |
| - | - | |
| 10.0 | 1.4 | |
| almost 3 years ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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contrastive-reconstruction
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[D]Use SimCLR as pretraining for image segmentation
How about this: https://github.com/bayer-science-for-a-better-life/contrastive-reconstruction
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?
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
vissl - VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
self_supervised - Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".
SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.