Search Results for "logging framework for .net"
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Showing 4 open source projects for "logging framework for .net"
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Discover the power of eDiscovery for law firms.DWR eDiscovery allows legal professionals to process, analyze, review, and produce documents that are relevant to litigation and other legal disclosure obligations. Our tools allow easy ingestion and analysis of client and opposing party documents using a comprehensive set of document review features including AI search, keyword search, keyword highlighting, metadata filtering, marking documents, privilege log management, redactions, and a range of analysis tools to help users best understand their document corpus.
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Find out just how much your login box can do for your customer | Auth0From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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txtspeech: A Text to Speech Application
A Text to Speech Application for Microsoft Windows.
...It uses Microsoft's SAPI Technologies to speak whatever you enter into it's text box. We recommend downloading the binary EXE file for installation, but experienced users can download ZIP or RAR if needed. To run the program, you need .NET Framework 4 installed. .NET Framework 4 http://www.microsoft.com/en-us/download/details.aspx?id=17851 My Website http://cryanmedia.com/ -
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speech recognition vb.net 2010
speech recognition vb.net 2010
using visual studio 2010, this is a working .net speech recognition mini application. (( Sample )) -
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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