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deep_prior_low_rank icon deep_prior_low_rank

This repo provides a clean implementation of the paper "Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Representation"

deepfat icon deepfat

Deep learning method for fat/water separation with spatial regularization

deepintent icon deepintent

Modeling pedestrian and vehicular movement to determine stochastic response to anomalies.

deeplearning_assistant icon deeplearning_assistant

For simple problem, many deep learning problem share many parts. So, all you need to implement is your own model architecture and data generator to feed your network.

deeplearningcnn icon deeplearningcnn

Content based image retrieval using convolutional neural network and tensorflow

deeplung icon deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deeplung-1 icon deeplung-1

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deepmagic icon deepmagic

Multi-task Learning for Multi-contrast MRI Synthesis

deepmedic icon deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmotion icon deepmotion

correction of motion artefacts in fMRI using deep learning models

deepmri icon deepmri

MRI reconstruction (e.g., QSM) using deep learning methods

deepred icon deepred

DeepRED: Deep Image Prior Powered by RED

deeptrade icon deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

deepvariant icon deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

deepvoice3_pytorch icon deepvoice3_pytorch

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

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