shahzad-ali's Stars
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
google-research/vision_transformer
PaddlePaddle/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
richzhang/PerceptualSimilarity
LPIPS metric. pip install lpips
MrGiovanni/UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
fahadshamshad/awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
nv-tlabs/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
the-black-knight-01/Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
yun-liu/RCF
Richer Convolutional Features for Edge Detection
mateuszbuda/brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
kevinzakka/pytorch-goodies
PyTorch Boilerplate For Research
ZhouYanzhao/PRM
Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)
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.
ChunhuanLin/deform_conv_pytorch
PyTorch Implementation of Deformable Convolution
funnyzhou/C2L_MICCAI2020
lanyunzhu99/Learning-Statistical-Texture-for-Semantic-Segmentation
Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"
xf4j/brats17
Patch-based 3D U-Net for brain tumor segmentation
navidstuv/NuClick
Interactive Segmentation of Nucleus
PeterJackNaylor/DRFNS
This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map".
ronrest/erfnet_segmentation
My own Implementation of the ERFNet Semantic Segmentation architecture in Tensorflow, trained on the CamvidDataset
tuvovan/RFDNet-ImageSuperResolution
Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution
TissueImageAnalytics/PanNuke-metrics
Evaluation code for the PanNuke dataset
SlicerMorph/Spr_2021
Spring 2021 Short Course materials