Showing 6 open source projects for "algorithms framework"

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  • 1
    Superlinked

    Superlinked

    Superlinked is a Python framework for AI Engineers

    Superlinked is a Python framework designed for AI engineers to build high-performance search and recommendation applications that combine structured and unstructured data.
    Downloads: 1 This Week
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  • 2
    BotSharp

    BotSharp

    AI Multi-Agent Framework in .NET

    ...It opens up as much learning power as possible for your own robots and precisely control every step of the AI processing pipeline. BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio processing technologies, and aims to promote the development and application of intelligent robot assistants in information systems. Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier. ...
    Downloads: 0 This Week
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  • 3
    CSAw - NLP for low-resource languages

    CSAw - NLP for low-resource languages

    CSAw is an NLP framework for low-resource languages

    ...See the preprint article here: https://arxiv.org/abs/1807.02226 The current framework includes transduction algorithms (i.e., from text to semantic representation and back again) and some components needed for automatic language model building (lexical alignment and grammar rule generation). Recently, we have added transliteration functionality. The project is currently incomplete. More to come.
    Downloads: 0 This Week
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  • 4
    Automatic text summarizer

    Automatic text summarizer

    Module for automatic summarization of text documents and HTML pages

    Sumy is an automatic text summarization library that provides multiple algorithms for extracting key content from documents and articles. Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains a simple evaluation framework for text summaries. Implemented summarization methods are described in the documentation. I also maintain a list of alternative implementations of the summarizers in various programming languages.
    Downloads: 0 This Week
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  • 5
    Self-Attentive Parser

    Self-Attentive Parser

    High-accuracy NLP parser with models for 11 languages

    LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention.
    Downloads: 0 This Week
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  • 6
    MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
    Downloads: 1 This Week
    Last Update:
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