debbiely77

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

OrganSegRSTN_PyTorch

PyTorch implementation of OrganSegRSTN - CVPR 2018

SegLossOdyssey

A collection of loss functions for medical image segmentation

AnatomyNet-for-anatomical-segmentation

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

stacked_capsule_autoencoders

stacked-capsule-networks

Pytorch Implementation of the Stacked Capsule Autoencoders

Attention-Augmented-Conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

caffe_3d_faster_rcnn

Caffe for 3D organ localization in CT image

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

GNNPapers

Must-read papers on graph neural networks (GNN)

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

BraTS2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

PointCNN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

capsnet-segmentation

deep learning final project

CapsNet-Pytorch

Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

Conditional-GAN

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

V-GAN-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

deep-learning-traffic-lights

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

IRCNN

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

u_net

u net (remote sensing image segmentation)

Unet-of-remote-sensing-image

The semantic segmentation of remote sensing images

brats17

Brain tumor segmentation for MICCAI 2017 BraTS challenge

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

deformableConvolution_2D

2D Deformable Convolution Network, Training and Testing on Cell Images

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.