returned for Tags:"Language-Model"
DotLiquid is a templating system ported to the .NET framework from Ruby’s Liquid Markup.
AngleSharp is the ultimate angle brackets parser library. It parses HTML5, CSS3, and XML to construct a DOM based on the official W3C specification.
Language Identifier implemented in .NET 4.6.1 based on N-Gram Language Model
Akka.NET is a port of the popular Java/Scala framework Akka to .NET
A natural language date parser for .Net. A port of Ruby's chronic.
This library contains a runtime environment for executing HL7 FhirPath queries and invariants. It is used by the HL7 .NET FHIR API to run validation for the HL7 FHIR object model.
Vorto - 1:1 multilingual property editor wrapper for Umbraco
DyNet is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python and C#) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training...
A .NET interoperability library to access the R statistical language runtime from .NET languages. The library is designed for fast data exchange, in process.
Core library of Microsoft Orleans used both on the client and server.
Classicial Machine Translation such as IBM model 1 and IBM model 2 implemented in .NET 4.6.1
Helps to recognize (identify) the language of a given text. NTextCat is a text classification utility (tool and API).
LESS extends CSS with dynamic behavior such as variables, mixins, operations and functions.
Library of built-in persistence and stream providers included in Microsoft Orleans.
Core runtime library of Microsoft Orleans that hosts and executes grains within a silo.
Library with core types shared between silo and extensions.
Core abstractions library of Microsoft Orleans
This package contains SharePoint and Project Client Object Model libraries
Recommended Google client library to access the Google Cloud Natural Language API, which provides natural language understanding technologies to developers. Examples include sentiment analysis, entity recognition, and text annotations.