test-mass-forker-org-1 Goto Github PK

mr_retailexperienceworkshop

ms-dos

The original sources of MS-DOS 1.25 and 2.0, for reference purposes

ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

ms-tpm-20-ref

Reference implementation of the TCG Trusted Platform Module 2.0 specification.

msbuildforunity

MSBuild integration in Unity

msbuildstaticgraphtester

An evaluation corpus for testing MSBuild static graph applicability and integration with BuildXL

msccl-leaderboard

msccl-tools

Synthesizer for optimal collective communication algorithms

mscloudloginassistant

PowerShell Module Handling Authentication to Cloud Services

msdevindia

Find all of the resources from the developer events happening in the Microsoft India Developer Community.

msfs-avionics-mirror

MSFS Avionics Source Code Mirror

msgen

Command-line client for the Microsoft Genomics service

msgraph-edu-sample

Showcase Microsoft Graph in a real-world application.

msix-labs

MSIX Labs is a collection of tutorials for customers that are in interested in creating, packaging, distributing and installing MSIX packages.

msix-packaging

MSIX SDK

msix-toolkit

MSIX toolkit is a collection of tools for users managing MSIX packages. The toolkit includes tools like appinstaller file generator, ComparePackage visualizer and frequently used PowerShell scripts.

msl

Message Security Layer

mslab

Azure Stack HCI, Windows 10 and Windows Server rapid lab deployment scripts

mslab-templates

Packer Templates for building MSLab OS images

msmarco-conversational-search

Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.

msmarco-document-ranking

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage/document ranking

msmarco-passage-ranking

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR

msr-cloak

Code for experiments referenced in the Usenix Security 2017 paper "Strong and Efficient Cache Side-Channel Protection using Hardware Transactional Memory"

msr-javascript-crypto

Microsoft JavaScript Cryptography Library

msr-morello-automation

Tooling for driving the MSR Morello cluster

msrc-appconfig

Type safe composable application configuration management in Python

msrc-dpu-learning-to-represent-edits

C# Data Extraction for "Learning to Represent Edits"

msrc-microsoft-engage-api

MSRC Engage API

msrc-security-research

Security Research from the Microsoft Security Response Center (MSRC)

msrd-rest-samples

Samples showing how to access Microsoft Security Risk Detection REST API from various languages