DeVriesMatt

3D-denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

3DGAN_PyTorch

Implementation of 3D GAN in PyTorch based on http://3dgan.csail.mit.edu/papers/3dgan_nips.pdf

AGNet

The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019

cellshape

3D shape analysis of cancer cells using deep learning

DeepClusterConv

Deep clustering using 3D convolutional autoencoders

cellshape

3D shape analysis using deep learning

cellshape-cloud

cellshape-cluster

Cellshape-cluster is an easy-to-use tool to analyse the cluster cells by their shape using deep learning and, in particular, deep-embedded-clustering

cellshape-helper

Cellshape-helper provides the ability to convert 3D masks to point clouds.

cellshape-voxel

Cellshape-voxel is an easy-to-use tool to analyse the shapes of cells using deep learning and, in particular, 3D convolutional neural networks.

DeVriesMatt/2D-and-3D-Deep-Autoencoder

Convolutional AutoEncoder application on MRI images

DeVriesMatt/3DGAN-Pytorch

3DGAN-Pytorch

DeVriesMatt/Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

DeVriesMatt/binvox-rw-py

Python module to read and write .binvox files.

DeVriesMatt/brain-tumor-segmentation

Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task

DeVriesMatt/Cell-Tracking

Python scripts for tracking cells in fluorescent microscopy.

DeVriesMatt/COMP6208

COMP6208 Advanced Machine Learning Lecture Material

DeVriesMatt/COMP6248

Deep Learning and Differentiable Programming

DeVriesMatt/create-a-hdf5-data-set-for-deep-learning

create your own data set with python library h5py and a simple example for image recognition

DeVriesMatt/deep_constrained_clustering

DeVriesMatt/DisasterRiskCompetition

DeVriesMatt/LadderNet

DeVriesMatt/M2U-Net

DeVriesMatt/MathsDL-spring19

Mathematics of Deep Learning, Courant Insititute, Spring 19

DeVriesMatt/modelnet

Python loading/manipulation functions for modelnet datasets

DeVriesMatt/objfile-to-binvox-to-nparray

A set of small programs and scripts to convert OBJ 3D file into vox space and then import it into python as an np array

DeVriesMatt/pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

DeVriesMatt/Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti

DeVriesMatt/pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

DeVriesMatt/retina-unet

Retina blood vessel segmentation with a convolutional neural network

DeVriesMatt/RFCN

DeVriesMatt/timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

DeVriesMatt/unet

unet for image segmentation

DeVriesMatt/Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet