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3d-gan-superresolution

3D super-resolution using Generative Adversarial Networks

3d_conditional_gan

The codes of VAE-GAN model for 3d shape reconstruction from depth data

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

bargraph

Clustered/Stacked Filled Bar Graph Generator

bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

chainer-gan-lib

Chainer implementation of recent GAN variants

cnn-3d-images-tensorflow

3D image classification using CNN (Convolutional Neural Network)

cppn-gan-vae-tensorflow

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

dcsrn

An implementation of BRAIN MRI SUPER RESOLUTION USING 3D DEEP DENSELY CONNECTED NEURAL NETWORKS

deconvolution3d

Codes for 3D Deconvolution of Microscopy Images

deep-image-prior

Image restoration with neural networks but without learning.

deepbrain

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

ellipsoid_fit_python

Find ellipsoid fit for arbitrary data with python/numpy, plot it or write to file.

fetalreconstruction

GPU accelerated source code for motion compensation of multi-stack MRI data

gans

Various GANs for playing around

geogan

Conditioning of three-dimensional geological and pore scale generative adversarial networks

ices

Project Report and Documentation

keras-gan

Keras implementations of Generative Adversarial Networks.

mcib3d-plugins

ImageJ plugins for 3D processing and analysis

mplbm-ut

Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)

mri_super_resolution

MRI Super Resolution with a Deep 3D Resnet Variant using Perceptual Loss

msrgan-a-gan-for-single-image-super-resolution-on-high-content-screening-microscopy-images.

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

photorestoration

A hit and go photo restoration pipeline

porousmediaanalysis

The program allows segmentation of void space in porous materials into pores and throats and computation of geodesic distances

porousmediagan

Reconstruction of three-dimensional porous media using generative adversarial neural networks

porousmultiphasefoam

A porous multiphase toolbox for OpenFOAM

pytorch-super-resolution-model-collection

Collection of Super-Resolution models via PyTorch

segem

Semi automated image analysis toolkit for Connectomics