shahzad-ali

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

deep_learning_object_detection

A paper list of object detection using deep learning.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

vision_transformer

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

SegLossOdyssey

A collection of loss functions for medical image segmentation

PerceptualSimilarity

LPIPS metric. pip install lpips

UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

GSCNN

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

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...).

RCF

Richer Convolutional Features for Edge Detection

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

pytorch-goodies

PyTorch Boilerplate For Research

PRM

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

deform_conv_pytorch

PyTorch Implementation of Deformable Convolution

C2L_MICCAI2020

regression-losses-pytorch

Experimenting with different regression losses. Implemented in Pytorch.

Learning-Statistical-Texture-for-Semantic-Segmentation

Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"

brats17

Patch-based 3D U-Net for brain tumor segmentation

siamfc

A minimal example (SiamFC in PyTorch) showing how to train and evaluate trackers using GOT-10k toolkit.

VAL

Tensorflow Implementation on Paper [CVPR2020]Image Search with Text Feedback by Visiolinguistic Attention Learning

NuClick

Interactive Segmentation of Nucleus

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".

erfnet_segmentation

My own Implementation of the ERFNet Semantic Segmentation architecture in Tensorflow, trained on the CamvidDataset

RFDNet-ImageSuperResolution

Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution

PanNuke-metrics

Evaluation code for the PanNuke dataset