claudiusgonzo Goto Github PK

followers: 2.0 following: 0.0 repos: 3.5K gists: 0.0

Type: User

claudiusgonzo's Projects

msbuildstaticgraphtester

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

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.

msft.network.diag

Manifest module containing Network Diagnosis tools from the Core Networking team at Microsoft

msft.network.tools

Top-level manifest module containing networking tools by the Microsoft Core Networking Product Group at Microsoft

msgen

Command-line client for the Microsoft Genomics service

msgraph-edu-sample

Showcase Microsoft Graph in a real-world application.

msgraphnotifications

Docs and sample code for the new Microsoft Graph notifications client SDK

msix-labs

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

msix-packagesupportframework

The Package Support Framework (PSF) is a kit for applying compatibility fixes to packaged desktop applications.

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.

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-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

claudiusgonzo Goto Github PK

claudiusgonzo's Projects

Recommend Projects

Recommend Topics

Recommend Org