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breastnet

Official Tensorflow implementation of BreastNet

bt-unet

capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

classification_models_python

Linear and non-linear classification with scikit-learn

cnn

This is a matlab-code implementation of convolutional neural network

cnn-benchmarks

Benchmarks for popular CNN models

cnn-w-sr

Convolutional neural networks for wavelet domain super resolution (implementation of our PR letters paper).

codtoolbox

EvaluationToolBox for Camouflaged Object Detection Task

computational-mathematics-optimization-models

Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes

computer-vision_digital_image_processing_python

Computer Vision

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

connected-unets-and-more

Basic UNet, AUNet, and ResNet architecture models and new variations: Connected-UNets, Connected-AUNets, and Connected-ResUNets architecture models

convolution-neural-network-deeplearning.ai-andrew-ng-

These are Coursera assignment of Course Deep Learning Specialization, this one is course 4

cosmomvpa

A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave

coursera-ai-for-medicine-specialization

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

covid-19-pa-cxr-fused-dataset

The dataset is genrated by the fusion of three publicly available datasets: COVID-19 cxr image, Radiological Society of North America (RSNA), and U.S. national library of medicine (USNLM) collected Montgomery country - NLM(MC)

covid-caps

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid-fact

A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans

covid-net

Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.

covid19-dl

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

covidnet-ct

COVID-Net Open Source Initiative - Models for COVID-19 Detection from Chest CT

cs-video-courses

List of Computer Science courses with video lectures.

cs231n.github.io

Public facing notes page

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

dagf

daikon

A JavaScript DICOM reader.

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.