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darts

dcmqi

dcmqi (DICOM for Quantitative Imaging) is a free, open source library that can help with the conversion between imaging research formats and the standard DICOM representation for image analysis results

decaes.jl

DEcomposition and Component Analysis of Exponential Signals (DECAES) - a Julia implementation of the UBC Myelin Water Imaging (MWI) toolbox for computing voxelwise T2-distributions of multi spin-echo MRI images.

deep-learning

Course: Deep Learning

deep-learning-for-computer-vision

Official Repo for Deep Learning for Compyter Vision Course offered by NPTEL

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-stroma-histology

Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer

deep_learning_class

deep_learning_pca

deeplearningseries

This is my deep learning package.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepliif

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23]

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

deepubi

A Deep Learning Framework for Prediction of Ubiquitination Sites in Proteins

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

diffusion-models-in-vision-a-survey

This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1

dipum-toolbox

MATLAB code for the book Digital Image Processing Using MATLAB (DIPUM)

dlvcnptel

Tutorials for DLVC NPTEL MOOC

dlvcnptel-1

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

draw-io-neural

neural network template draw.io

dwilib

Tools for Diffusion-weighted imaging (DWI)

eeg-datasets

A list of all public EEG-datasets

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

eopsn

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.