Showing 3 open source projects for "framework-arduinoststm32"

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  • 1
    jieba

    jieba

    Stuttering Chinese word segmentation

    ...The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. Also supports part-of-speech tagging. To use paddle mode, you need to install paddlepaddle-tiny, pip install paddlepaddle-tiny==1.6.1. Currently paddle mode supports jieba v0.40 and above. For versions below jieba v0.40, please upgrade jieba, pip install jieba --upgrade.
    Downloads: 0 This Week
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  • 2
    kDicts

    kDicts

    kDicts is a simple app for anyone who loves to study foreign languages

    kDicts is a simple app for anyone who loves to study foreign languages with a little bit of technology, or simply for anyone who needs to remember a few words. kDicts is written in Python and runs under Kivy framework. You can clone the repository to your /sdcard/kivy/kDicts or install it from APK. Before every update backup your app data! Like the app on facebook too: https://www.facebook.com/kDicts
    Downloads: 0 This Week
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  • 3

    Vocabulary Tester

    Vocabulary Testing Program

    This is a program (written in Python, with graphics based on the Tk/Tcl framework) to test on vocabulary. It allows users to define their own languages and constructs per language. Afterwards, a dictionary of words can be created and the user can be tested on this dictionary. Currently, it is in v0.8 (Beta) of development. After a stable version is released (v1.0), a more detailed repository will be kept.
    Downloads: 0 This Week
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