Pinned Repositories
crosszamirski.github.io
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
guided-I2I
Combining image-to-image and class guided denoising diffusion probabilistic models.
Label-free-prediction-of-Cell-Painting-from-brightfield-images
Label Free Prediction of Cell Painting from Brightfield Images
Multi-Channel-DINO
An adaptation of Facebook's dino algorithm to 5 channels, easily adaptable to any number of channels (rather than just rgb)
Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
WS-DINO
WS-DINO: a novel framework to use weak label information in a self-supervised setting to learn phenotypic representations from high-content fluorescent images of cells.
crosszamirski's Repositories
crosszamirski/guided-I2I
Combining image-to-image and class guided denoising diffusion probabilistic models.
crosszamirski/Label-free-prediction-of-Cell-Painting-from-brightfield-images
Label Free Prediction of Cell Painting from Brightfield Images
crosszamirski/WS-DINO
WS-DINO: a novel framework to use weak label information in a self-supervised setting to learn phenotypic representations from high-content fluorescent images of cells.
crosszamirski/Multi-Channel-DINO
An adaptation of Facebook's dino algorithm to 5 channels, easily adaptable to any number of channels (rather than just rgb)
crosszamirski/crosszamirski.github.io
crosszamirski/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
crosszamirski/Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch