solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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Updated
Aug 7, 2024 - Python
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
Collections of self-supervised methods, based on cvpods.
Self-Supervised Learning in PyTorch
Codebase for Imperial MSc AI Group Project: How Well Do Self-Supervised Models Transfer to Medical Imaging?
Using semisupervised learning to classify rice diseases
Ocular Disease Recongnition using SwAV
Contrastive learning implementations using pyssl
A python library for self-supervised learning
Simple transfer learning on cifar10 with self-supervised backbone SwAV using Pytorch lightning and bolts
2021.03~2022.06, Senier project, Department of Software, Gachon University
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
Image classification with very few data sample (n=25 per class)
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