A HuggingFace client for C# and .NET developers who want to integrate HuggingFace's powerful models in an easy and flexible way.
Package Description
Software for corpus linguists and text/data mining enthusiasts. The CorpusExplorer combines over 45 interactive visualizations under a user-friendly interface. Routine tasks such as text acquisition, cleaning or tagging are completely automated. The simple interface supports the use in university teaching and leads users/students to fast and substantial results. The CorpusExplorer is open for many standards (XML, CSV, JSON, R, etc.) and also offers its own software development kit (SDK).
Converts words to title case.
Microsoft.ML.Tokenizers contains the implmentation of the tokenization used in the NLP transforms.
English language pack for the Catalyst.ConceptNet package.
A dictionary of extra words for Abodit NLP
.NET toolkit that provides the utility functions for performing various tasks such as geocoding, reverse coding, country code translation, geo distance calculation, etc.
C# port of OpenNLP.
Classicial Machine Translation such as IBM model 1 and IBM model 2 implemented in .NET 4.6.1
该类库扩展了.NET Standard / .NET Core 对全球化软件开发的支持。支持繁简转化、拼音转化。
Very simple, bare-bone, in-memory NLP analyzer for bot usage. Intents and entities. Simple algorithm - no machine learning.
Turkish Tokenization and sentence boundary detection.
A statistical machine translation toolkit.
Turkish morphological analysis, disambiguation and word generation.
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also included maximum entropy and perceptron based machine learning.
Package Description
French language pack for the Catalyst.ConceptNet package.
NLP Chiron CLI components.
WordNet extension data for Catalyst
A class library for ASP.NET website projects to add custom Automated Live Chat agent using SIML (Synthetic Intelligence Markup Language) as the back-end knowledge base language. The library also provides CSS, JavaScript and HTML elements to be used in the master page of your ASP.NET Website dynamically when the service is called.
.Net Implementation of w2v for those who want to use goolglr word2vec tools in theirs .net solutions. See github page for easy start.
NLQuery: natural language query parser recognizes entities in context of structured sources (like tabular dataset). Can be used for building natural language interface to SQL database or OLAP cube, implementing custom app-specific search. Usage examples: https://www.nrecosite.com/nlp_ner_net.aspx Online demo: http://nlquery.nrecosite.com/
Package Description
Spanish language pack for the Catalyst.ConceptNet package.
Enable seamless execution of LLM (Large Language Model) evaluations using Semantic Kernel. This library provides tools and abstractions for running automated assessments where LLMs serve as judges, offering structured, consistent, and scalable evaluation methods. Ideal for AI-driven projects that require evaluative feedback, scoring, or comparative analysis across various use cases. Easily integrates with Semantic Kernel for smooth, flexible LLM operations in .NET environments.
[DEPRECATED - Use "Syn.Bot.Channels" instead] A class library for ASP.NET website projects to add custom Automated Live Chat agent using SIML (Synthetic Intelligence Markup Language) as the back-end knowledge base language. The library also provides CSS, JavaScript and HTML elements to be used in the master page of your ASP.NET Website dynamically when the service is called.
An internal deployment package that allows for Algorithmia algorithm .net support
German language pack for the Catalyst.ConceptNet package.
Integration for Catalyst to run spaCy models from C#.
Package Description
LLamaSharp is a cross-platform library to run 🦙LLaMA/LLaVA model (and others) in your local device. Based on [llama.cpp](https://github.com/ggerganov/llama.cpp), inference with LLamaSharp is efficient on both CPU and GPU. With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.
Chiron NLP-related components
Portuguese language pack for the Catalyst.ConceptNet package.