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learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

loader_dateset

loade data for pytorch datasets

loci-net

Convolutional neural network for Lensless one-shot color Imaging behind a diffuser

lossfunctions.jl

Julia package of loss functions for machine learning.

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

medical-image-3d-reconstruction

meshroom

3D Reconstruction Software

meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmc

Mesh-based Monte Carlo (MMC)

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmediting

OpenMMLab Image and Video Editing Toolbox

model-resolution-based-basis-pursuit-deconvolution-improves-diffuse-optical-tomographic-imaging

models

Models and examples built with TensorFlow

modl

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

modopt

Modular Optimisation tools for solving inverse problems

n3net

Neural Nearest Neighbors Networks (NIPS*2018)

natcomm_cherenkov_hu

MATLAB script repository for Nature Communications Manuscript NCOMMS-19-33311-T

neural-pgd

This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to unroll the proximal gradient descent algorithm and model the proximal using a neural network. Adopting residual network (ResNet) as the proximal, a recurrent neural net (RNN) is implemented to learn the proximal. The code is flexible to incorporate various training costs such as pixel-wise l1/l2 cost, adversarial GAN, LSGAN, and WGAN.

nirfast

Nirfast is an FEM based package for modeling Near-Infrared light transport in tissue.

nirfaster

Open source software for multi-modal optical molecular imaging

nirfastslicer

Customized version of 3D Slicer for NIRFAST

nlrn

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

odl

Operator Discretization Library https://odlgroup.github.io/odl/

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

paper-computer-vision

Computer vision papers

pixel-super-resolution-phase-retrieval

Algorithms for pixel super-resolution phase retrieval.