Showing 6 open source projects for "component"

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    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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  • AestheticsPro Medical Spa Software Icon
    AestheticsPro Medical Spa Software

    Our new software release will dramatically improve your medspa business performance while enhancing the customer experience

    AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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  • 1
    IMS Open Corpus Workbench

    IMS Open Corpus Workbench

    Indexing and query tools for very large text corpora

    The IMS Open Corpus Workbench is a collection of tools for managing and querying large text corpora (100 M words and more) with linguistic annotations. Its central component is the flexible and efficient query processor CQP, which can be used interactively in a terminal session, as a backend e.g. from a Perl script, or through the Web-based GUI CQPweb.
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    Downloads: 20 This Week
    Last Update:
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  • 2
    Leseratte is a Java parser for German written language. Currently, it contains a German lexicon (based on the Wiktionary), inflexion rules, a grammar and a parser. (Semantics component planned.) Usable as a Java library, also provides a graphical UI.
    Downloads: 0 This Week
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  • 3
    UnsupervisedMT

    UnsupervisedMT

    Phrase-Based & Neural Unsupervised Machine Translation

    Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures—seq2seq, biLSTM with attention, and Transformer—and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. ...
    Downloads: 6 This Week
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  • 4
    ICE Nigeria

    ICE Nigeria

    Nigerian component of the International Corpus of English

    This is the Nigerian component of the International Corpus of English, a one million word corpus of written and spoken Nigerian English for linguistic research. It can be used as a stand-alone corpus or in conjunction with other components of the International Corpus of English (such as ICE-GB, ICE-India, etc.) to compare international varieties of English.
    Downloads: 19 This Week
    Last Update:
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  • Say goodbye to broken revenue funnels and poor customer experiences Icon
    Say goodbye to broken revenue funnels and poor customer experiences

    Connect and coordinate your data, signals, tools, and people at every step of the customer journey.

    LeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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  • 5
    HanNanum - Korean POS Tagger
    HanNanum is a Korean Morphological Analyzer and POS Tagger. A plug-in component-based architecture is adapted to the new Java version for flexible use. You can find the work flow for morphological analysis, POS tagging, noun extraction, etc. Contact: kschoi@kaist.ac.kr hjjeong@world.kaist.ac.kr
    Downloads: 0 This Week
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  • 6
    crf decoder
    CRF decoder is the simplified version of CRF++, only for decoding the sequential data. It removes the training component and its correspondent codes from CRF++, which makes CRF decoder more reabable and understandable for freshman.
    Downloads: 0 This Week
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