Pinned Repositories
evaluating-generative-models
icv-m1-2016
Introduction to Human and Computer Vision project
MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
mcv-m5
Master in Computer Vision - M5 Visual recognition
MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
nnUNet
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
medigan
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
LidiaGarrucho's Repositories
LidiaGarrucho/MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
LidiaGarrucho/nnUNet
LidiaGarrucho/evaluating-generative-models
LidiaGarrucho/icv-m1-2016
Introduction to Human and Computer Vision project
LidiaGarrucho/mcv-m5
Master in Computer Vision - M5 Visual recognition
LidiaGarrucho/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
LidiaGarrucho/mmdetection
OpenMMLab Detection Toolbox and Benchmark
LidiaGarrucho/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
LidiaGarrucho/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
LidiaGarrucho/TuiGAN-PyTorch
PyTorch Implementation of ECCV 2020 Spotlight "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images"
LidiaGarrucho/vos
source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"