Gang Fu's repositories
OMERO-on-AWS
This repo explains how to deploy OMERO on AWS ECS with different options
amazon-chime-sdk
This repository contains samples intended to demonstrate different use cases for the Amazon Chime SDK (JavaScript, iOS, Android, React, Messaging and Telephony)
AutoML-MLADS2019
A guide for the automated ML MLADS 2019 workshop to be used in conjunction with the sample notebooks
aws-healthscribe-demo
Submit audio files to AWS HealthScribe, view the status of the job, and visualize the transcript and summarized clinical notes, including sections like complaint, history of present illness, assessment, and treatment plan.
aws-visual-content-recommender
visual content recommender/search to search similar images using Amazon SageMaker and Amazon Elasticsearch
AzureChestXRayNoAML
Azure Chest Xay project outside AML
caffemodel2pytorch
Convert Caffe models to PyTorch
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
create-react-app-auth-amplify
Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
MLADS_RAPIDS
Public repository for Microsoft AzureML and NVIDIA RAPIDS workshop at MLADS
monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
notebooks-contrib
RAPIDS Community Notebooks
php-docs-hello-world
A simple php application for docs
ProjectWeek
Website for NA-MIC Project Weeks
pytorch-luxor-lab
"Solving problems with Deep Learning: an in-depth example using PyTorch and its ecosystem" tutorial/lab
studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
TCIA_Notebooks
Notebooks for working with The Cancer Imaging Archive datasets