Showing 3 open source projects for "learning classifier system"

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    DeepSpeech

    DeepSpeech

    Open source embedded speech-to-text engine

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the...
    Downloads: 5 This Week
    Last Update:
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  • 2
    GloVe

    GloVe

    GloVe model for distributed word representation

    GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors...
    Downloads: 0 This Week
    Last Update:
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  • 3
    MediaGlyphs

    MediaGlyphs

    international glyph-based auxlang

    MediaGlyphs: an international language based on multimedia ideograms. It allows to read, think or type in your own language sentences written with the shared mediaglyphs: a common writing system for the world, Simple Unambiguous Neutral & Universal.
    Downloads: 0 This Week
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