timm
Encoder-Decoder Cell and Nuclei segmentation models
PyTorch Volume Models for 3D data
Unsupervised image clustering with modern deep embeddings (CLIP, timm) + K-Means. Sort a folder of images into clusters with one Python call or CLI.
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.