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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

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adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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batchgenerators

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

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

birdy

A super awesome Twitter API client for Python.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

coronary-artery-tracking-via-3d-cnn-classification

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

few-shot

Repository for few-shot learning machine learning projects

github-pages-with-jekyll

github-slideshow

A robot powered training repository :robot:

keras

Deep Learning for humans

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

keras-gcnn

Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology".

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

ku-frontpage

LaTeX package for use at University of Copenhagen.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

labelme2coco

Make your own dataset for object detection and transform the format to coco json format

linking-cnn-gcn

Artery vein separation

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

missingdatachallenge

Scripts for the missing data challenge 2023

mmdetection

OpenMMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

multiplanarunet

Multi-Planar UNet for autonomous segmentation of 3D medical images

pcsd

pdccorsos

This repository contains the source code and scripts used in the paper "Parallel generation of extensive vascular networks with application to an archetypal human kidney model". This work is licensed under a CC0 1.0 Universal license.

perceptualsimilarity

s2cnn

Spherical CNNs

smrt

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.