A curated list of awesome anomaly detection resources

Code for reproducing f-AnoGAN training and anomaly scoring

A Simple and Versatile Framework for Object Detection and Instance Recognition

SNIPER is an efficient multi-scale object detection algorithm

👀 DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18.

A collection of AWESOME things about domian adaptation

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

medical image synthesis with GAN framework based on tensorflow

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

Deep Learning Papers on Medical Image Analysis

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

🤘 awesome-semantic-segmentation

A collaboratively written review paper on deep learning, genomics, and precision medicine

This repository contains code implementing the paper, Full Resolution Residual Networks for Semantic Segmentation in Street Scenes (FRRN) in Tensorflow.

This is a tensorflow implementation of ReLayNet

General code to convert a trained keras model into an inference tensorflow model

Bone Age Report Generator

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

Two stage optic disc segmentation.

ISIC 2017: Skin Lesion Analysis Towards Melanoma Detection (Lesion Classification)

Identifying diabetic retinopathy using convolutional neural networks