batuhankmkaraman's Stars
okankop/Efficient-3DCNNs
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
huggingface/pytorch-image-models
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
JJGO/UniverSeg
UniverSeg: Universal Medical Image Segmentation
BMEII-AI/RadImageNet
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
shijianjian/EfficientNet-PyTorch-3D
A PyTorch implementation of EfficientNet
xmuyzz/3D-CNN-PyTorch
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
perone/medicaltorch
A medical imaging framework for Pytorch
christopher-beckham/deep-unimodal-ordinal