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medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

medpy

Medical image processing in Python

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

nih-chest-xrays

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

numerai

A baseline project for the numer.ai ML competition

obelisk

MIDL 2018: one binary extremely large and inflecting sparse kernel (pytorch)

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pipeline

Real-time, End-to-End, Advanced Analytics and Machine Learning Recommendation Pipeline

pneumonia-detection-from-chest-x-ray-images-with-deep-learning

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pspnet-keras-tensorflow

original code : https://github.com/hszhao/PSPNet

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

python

All Algorithms implemented in Python

python-work

Python scripts to facilitate easy working

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-se-segmentation

qupath

QuPath - Open Source Digital Pathology

segcaps

Official Implementation of the Paper "Capsules for Object Segmentation".

segloss

A collection of loss functions for medical image segmentation

semantic-segmentation-using-adversarial-networks

Chainer Implementation of Semantic Segmentation using Adversarial Networks

simpleelastix

Multi-lingual medical image registration library

simpleitk-notebooks

Jupyter notebooks for learning how to use SimpleITK

simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

slideseg

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

spark

Mirror of Apache Spark

stain_normalization

Some stain normalization code