Showing 6 open source projects for "python text parser"

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  • 1
    sherpa-onnx

    sherpa-onnx

    Speech-to-text, text-to-speech, and speaker recognition

    Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter.
    Downloads: 425 This Week
    Last Update:
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  • 2
    ciwiki

    ciwiki

    Personnal or familly wiki with low ressource requirement.

    Personal lightweight wiki based on DidiWiki. Upgraded to accept text and highlight color, image resize and video (youtube, dailymotion...) embedded. Written in C, doesn't require a lot of RAM. Works fine on Raspbian (Raspberry Pi). Example of Ciwiki running on Raspberry Pi B+ (700MHz, 512MB): http://inphilly.dyn.dhs.org
    Downloads: 4 This Week
    Last Update:
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  • 3
    Mycroft

    Mycroft

    Mycroft Core, the Mycroft Artificial Intelligence platform

    Mycroft is the world’s leading open source voice assistant. It is private by default and completely customizable. Our software runs on many platforms, on desktop, our reference hardware, a Raspberry Pi, or your own custom hardware. Our open-source, modular system can be ported to your device or environment, at any price point. Whether you make voice-assistants, televisions, or microwaves. Whether you have a 5-room BnB or a 1000-room hotel. Your customers will get access to all the...
    Downloads: 19 This Week
    Last Update:
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  • 4
    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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  • 5
    GROWbox Supervisor System (GROWSS)

    GROWbox Supervisor System (GROWSS)

    Automated Plant Environment Growing System using Raspberry Pi

    GROWbox Supervisor System (GROWSS) is a grow box or grow cabinet environmental controller. GROWSS uses a Raspberry Pi (RPI) & Grove sensors to monitor and control the environment in your grow box or cabinet. Environmental factors such as temperature, humidity, soil moisture, & smoke (from fire) are monitored and displayed on a terminal connected to the RPI & on a mobile app. GROWSS also controls the exhaust fan and grow lights based on the time interval (ie. 12 hours on/12 hours off) &...
    Downloads: 0 This Week
    Last Update:
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  • 6
    PyEdit Editor

    PyEdit Editor

    Configurable Editor in Python

    PyEdit is a fully featured fast text editor written in Python. It can be used in any platform that has GTK. Because it is written in Python, it is easily configurable. Features code spell check and macro recording. Tested in Win/Lin/Mac --- Update: Using the editor full time V23 is mature enough for production --- Update: Had to downgrade to PyGTK 2.22.xx as 2,24,x had a double click message bug.
    Downloads: 0 This Week
    Last Update:
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