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3d-machine-learning

A resource repository for 3D machine learning

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3dunet-tensorflow-brats18

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

3dunetcnn

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

attend2u

🖼️ Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017. Expanded : Towards Personalized Image Captioning via Multimodal Memory Networks. In IEEE TPAMI, 2018.

basic_unet_example

An example project of how to use a U-Net for segmentation on medical images with PyTorch.

batchgenerators

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

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

brain-tumor-segmentation-3d-unet-cnn

Brain tumor segmentation using a 3D UNet CNN

brain-tumor-segmentation-using-deep-neural-networks

Keras implementation of paper by the same name

brats18-project

Brain tumor segmentation using fully-convolutional deep neural networks.

brats2017

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

firstrepo

A Sample Repo

ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

github-cheat-sheet

A list of cool features of Git and GitHub.

google-drive-downloader

Minimal class to download shared files from Google Drive.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

image-segmentation-keras

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

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

machine-learning

notebooks with example for machine learning examples

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machinelearning

Training

machinelearningpractice

medical-decathlon

U-Net Biomedical Image Segmentation

medicalimaging

Medical Imaging Processing

medseg_decathlon

Medical Segmentation Decathlon 2018

models

Models and examples built with TensorFlow

msd_2018

Code for the Medical Segmentation Decathlon Challenge at MICCAI 2018

neural-networks

Neural networks for machine learning