solo-learn
vectorrvnn
solo-learn | vectorrvnn | |
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3 | 1 | |
1,358 | 7 | |
- | - | |
5.9 | 6.2 | |
5 days ago | 11 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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solo-learn
- [D]Use SimCLR as pretraining for image segmentation
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[D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)?
Hello, I lost a bit of touch to the current SOTA of self-supervised pretraining of CNNs, in particular ResNet. I found this repository https://github.com/vturrisi/solo-learn that has many methods implemented but I'm not really sure where to start. My goal is to pretrain a ResNet backbone on a decently large amount of image data that comes from a certain domain and after that fine-tune it for different downstream tasks (classification, segmentation, object detection) on a subset of the data I have labels for.
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[P] Solo-learn 1.0.3: new methods, support for transformer architectures, better evaluation, improved docs, and additional results.
Hi Reddit, the solo-learn team is back again with interesting news about its SSL library.
vectorrvnn
What are some alternatives?
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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.
CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
lightly - A python library for self-supervised learning on images.