Showing 3 open source projects for "router data usage"

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    Train ML Models With SQL You Already Know

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  • 1
    Fanyi

    Fanyi

    A πŸ‡¨πŸ‡³ and πŸ‡ΊπŸ‡Έ translate tool in your command line

    Fanyi is a tool for translating words between the Chinese and English languages, right in your command line. It’s a good supportive tool for learning and reading the Chinese language from English, or the other way around. All translation data is fetched from iciba.com and fanyi.youdao.com, and with each translation comprehensive and related samples are given for better understanding and proper usage. There are translations for words as well as sentences, and in Mac/Linux bash, words can even be pronounced by the β€˜say’ command.
    Downloads: 1 This Week
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  • 2
    ValiTerms

    ValiTerms

    Validation of terms in corpus

    ValiTerms is a tool that helps the validation of terms in corpus. It finds their occurrences and allows terminologists to choose if a term is relevant or not. ValiTerms is developed at LIPN (http://www-lipn.univ-paris13.fr), RCLN team. Please consult the wiki for instructions about installation and usage.
    Downloads: 0 This Week
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  • 3
    CRFSharp

    CRFSharp

    CRFSharp is a .NET(C#) implementation of Conditional Random Field

    ...CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. ...
    Downloads: 0 This Week
    Last Update:
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