#Pretrained-weights
Showing 8 of 8 repositories tagged #pretrained-weights, ranked by stars
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.
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Pytorch EfficientNetV2 EfficientNetV1 with pretrained weights