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hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

histomicsml-ta

A tool for training classifiers using whole-slide imaging datasets

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

idh

idh_prediction

Use of Deep Learning to Predict IDH status from MR Imaging

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

keras-aae

Implementation of Adversarial Autoencoder in Keras

keras-class-activation-map

Class Activation Map using Keras

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-vis

Neural network visualization toolkit for keras

keras_mixup_generator

How to do mixup training from image files in Keras

kidney_tumor_segmentation

Kidney_Tumor_Segmentation 2019

learnbale_bandpass_filter

Image Demoireing with Learnable Bandpass Filters. (CVPR, 2020)(Keras+TensorFlow)

learning-rate-techniques-keras

Exploring learning rates to improve model performance

lifelines

Survival analysis in Python

lung-segmentation

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

lungsegmentation

Lung Segmentation

ma-mtln

Multi-attention Guided Multi-task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification

mal

MAL for cvpr765

medical-datasets

tracking medical datasets, with a focus on medical imaging

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.

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

meduncertainty

Uncertainty in Medical Image Analysis

ml-stat-util

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

mmd-vae-grading

models

Models and examples built with TensorFlow

modelsgenesis

Official Keras Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

msfn

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multimodal-recurrence

Code accompanying the paper "Multimodal fusion of imaging and genomics for lung cancer recurrence prediction" - Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood (ISBI 2020)