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3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

adv360-pro-zmk

Production repository for the all-new Advantage360 Professional using ZMK engine

aisummit

Material used for the AI summit

awesome-python

A curated list of awesome Python frameworks, libraries and software

binaryclassificationcnn

Simple exaple code on how to use ceras for a binay classification problem

brain-synthesis-lesion-segmentation

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

data-science-blogs

A curated list of data science blogs

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

datascience

Data Science Group at Mayo Clinic's github experiments

deep-learning-keras-euroscipy2016

# Deep Learning with Keras

deep-photo-styletransfer-tf

Tensorflow (Python API) implementation of Deep Photo Style Transfer

devol

Automated deep neural network design via genetic programming

dive-into-machine-learning

Dive into Machine Learning with ipython notebook and scikit-learn

docker-tactic

Dockerfile for a tactic docker image

dockerfile-dit4c-container-x11

DIT4C container which provides X11 support via HTML5 VNC.

dockerfiles

Compilation of Dockerfiles with automated builds enabled on the Docker Registry

dsb17_3d_lung_nodule_classifier

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

europython2016_dl-nlp

Introduction to Deep Learning for Natural Language Processing

graph_attention_pool

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

kaggle-dogs-vs-cats

Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats

kaggle_ndsb2017

Kaggle datascience bowl 2017

keras-mri

Keras MRI is a neural network visualization tool for Keras

keras-resnet

Residual networks implementation using Keras-1.0 functional API

machinelearningformedicalimages

Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

medcorseg

Automated Segmentation of Kidney Cortex and Medulla in CT Images

media2016

Simulation code for 'Designing image segmentation studies: statistical power, sample size and reference standard quality'

medical-image-analysis-ipython-tutorials

medpy

Medical image processing in Python

mermaid

Generation of diagram and flowchart from text in a similar manner as markdown