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cqrs.mediatr.lite icon cqrs.mediatr.lite

Light-weight library to implement CQRS (Command Query Responsibility Segregation) pattern in dotnet. Inspired by the Mediatr library.

cream icon cream

This is a collection of our NAS and Vision Transformer work.

cromwellonazure icon cromwellonazure

Microsoft Genomics supported implementation of the Broad Institute's Cromwell workflow engine on Azure

cronet-transport-for-okhttp icon cronet-transport-for-okhttp

This package allows OkHttp and Retrofit users to use Cronet as their transport layer, benefiting from features like QUIC/HTTP3 support or connection migration.

cronet.dart icon cronet.dart

This package binds to Cronet's native API to expose them in Dart.

cronutils icon cronutils

utilities to assist running periodic batch processing jobs

crunchy icon crunchy

CrunchyCrypt - Safe and Simple Cryptography

cryptonets icon cryptonets

CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.

csa-misc-utils icon csa-misc-utils

Miscellaneous samples, documents, how-tos, utilities, scripts, and other CSA tidbits

csapps-msteams-watercooler icon csapps-msteams-watercooler

Water Cooler is a custom Teams app that enables corporate teams to create, invite, and join casual conversations among teammates, like those that take place by the Water Cooler or break room. Use this template for multiple scenarios, such as new non-project related announcements, topics of interest, current events, or conversations about hobbies. The app provides an easy interface for anyone to find an existing conversation or start a new one. It's a foundation for building custom targeted communication capabilities, promoting interaction amongst coworkers who may otherwise not get a chance to socialize during breaks.

csparmpricingcalculator icon csparmpricingcalculator

This repository contains the source code of the tool: CSPARMPricingCalculator. The tool can be used to estimate the cost of hosting the resources defined in an ARM template in an Azure CSP subscription. It has been built as a sample and currently supports Virtual machines and its components including compute hours, storage, network, public ip and software costs. The idea is to help CSP partners who are performing integration by providing the tool and source code to assist them to incorporate this feature at their end.

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