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3dunetcnn

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

3dyolo2

A convolutional neural network approach for 3D images

aerial_pedestrian_detection

aiboosthackaton

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

clustering

ICAE code(An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance)

cv

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepdepthdenoising

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf

depthmap-refinement-upsampling-

Implemention of paper "Spatial-Depth Super Resolution for Range Images" with python

django-github-actions-aws

demonstrates how to set up a CI/CD Pipeline with GitHub Actions and AWS in a Django project

dkn

DKN code

extensionsindex

Slicer extensions index

hdbscan

A high performance implementation of HDBSCAN clustering.

imaging_time_series

librealsense

Intel® RealSense™ SDK

medium-bokeh-viz

mri-toolkit

Collection of tools for MRI preprocessing for Deep Learning

msg-net

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

n2d

A deep clustering algorithm. Code to reproduce results for the paper ## N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

pascal-voc-writer

A python library for generating annotations in the PASCAL VOC format.

plgg_segmentation

robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

segmentationreview

Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created to speed up the validation process done by a clinician - the dataset loads in one batch with no need to load masks and volumes separately.

simple_docker_demo

demo docker container with tensorflow for the learning session

slicer3dus

The repository for PMSD SS19

slowfast-networks

implement of slowfast networks

streamlit-to-heroku