Top 20 NuGet classification Packages

SyntaxEditor is a powerful text editing WPF control designed for use in IDE applications and script editing scenarios. Code editing features include syntax highlighting, code outlining, line numbers, block selection, IntelliPrompt UI, split views, zooming, bi-di support, and much more. SyntaxEditor...

GroupDocs.Classification for .NET is an easy to use library that allows performing sentiment analysis (classification), document classification, and raw text categorization. Features: * Classifies both raw text and documents with IAB-2, Documents, Sentiment, or Sentiment3 taxonomies. ...

A client library that can be used to connect to Semaphore services from Microsoft .Net framework applications

GroupDocs.Classification Cloud for .NET is a programming SDK that allows software developers to classify documents and raw texts from within their own applications.

Process, transforms, filters and handle audio signals for machine learning and statistical applications. This package is part of the Accord.NET Framework.

Classification module for the Lucene.NET full-text search engine library from The Apache Software Foundation. Documentation: https://lucenenet.apache.org/docs/4.8.0-beta00017/api/classification/Lucene.Net.Classification.html This package is part of the Lucene.NET project: https://www.nuget.org/pac...

a "Component Discovery" - Framework which supports the dynamically load of assemblies and types (like providers etc.) including a multi dimensional, classification- / clearance-based mandatory access control for components

Face recognition and analytics library based on deep neural networks and ONNX runtime.

Face recognition and analytics library based on deep neural networks and ONNX runtime. Gpu implementation.

Provides learning algorithms and models for XGBoost regression and classification.

Provides learning algorithms and models for DecisionTree regression and classification.

Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.

Provides learning algorithms and models for GradientBoost regression and classification.

Provides learning algorithms and models for neural net regression and classification.

Allows to run Lobe models in vvvv via the REST API

Provides learning algorithms and models for AdaBoost regression and classification.

Provides ensemble learning for regression and classification.

Provides classification, regression, impurity and ranking metrics.

Web Business Intelligence library of imbVeles Framework. Currently supports Web Site Classification using different Semantic Similarity and TF-IDF computation, kNN, Neural Networks, mSVM and Naive Bayes

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