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dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl-cs

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

dl-mri-water-fat-separation

dl-sr

Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruction.

dl_motion_correction

dladmm

dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers

dldegibbs

Code for reproducing models in the paper "Training a Neural Network for Gibbs and Noise Removal in Diffusion MRI"

dldfall2022

This repository contains information about Digital Logic Design (ecen 3233) laboratory elements for Fall 2022.

dln_dropout

dlsr

dlwin

GPU-accelerated Deep Learning on Windows 10 native

dmriharmonization

Multi-site dMRI harmonization

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

dnlinv

Reconstruction code and reproducible reconstruction scripts for DNLINV paper

doc-dcs

Difference of Convolution for Deep Compressive Sensing, IEEE International Conference on Image Processing (ICIP), 2019

docker-novnc-fmri

NoVNC docker container for Linux desktop with fMRI software

docker-x2go

x2go server in a dock

domain-adaptation-mr

domain.adaptation.acceleratedmr

Accelerated MRI using Deep Learning with Domain Adaptation

domain_malicious_detection

Malicious domain name detection based on tensorflow

double-factor-regularized-low-rank-tensor-factorization-for-mixed-noise-removal-in-hyperspe

code of Double Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspe

dp-bnn

dphsir

PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dropneuron

DropNeuron: Simplifying the Structure of Deep Neural Networks

ds000254

dsb17_3d_lung_nodule_classifier

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

dsb2017-1st

The solution of team 'grt123' in DSB2017

dsb2017-2nd

Code for 2nd place solution to the 2017 National Data Science Bowl

dsb2017_no1