The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
vits2 backbone with multilingual-bert
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Backbone of the deSEC Free Secure DNS Hosting Service
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
Image inputs for Laya: calibrated, non-generative typed decisions over images + text (SmolVLM-256M backbone)