swav

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

Self-Supervised Learning in PyTorch

Collections of self-supervised methods, based on cvpods.

Framework for training and evaluating self-supervised learning methods for speaker verification.

Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

A python library for self-supervised learning

Ocular Disease Recongnition.

Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.

Codebase for Imperial MSc AI Group Project: How Well Do Self-Supervised Models Transfer to Medical Imaging?

Simple transfer learning on cifar10 with self-supervised backbone SwAV using Pytorch lightning and bolts

Using semisupervised learning to classify rice diseases

Contrastive learning implementations using pyssl

2021.03~2022.06, Senier project, Department of Software, Gachon University

ML project using SWaV model to build an image classifier, exploring SSRL.

Image classification with very few data sample (n=25 per class)