Showing 11 open source projects for "raspberry gpio python"

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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: 157 This Week
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  • 2
    Vosk Speech Recognition Toolkit

    Vosk Speech Recognition Toolkit

    Offline speech recognition API for Android, iOS, Raspberry Pi

    ...Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. It can also create subtitles for movies, and transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphones to big clusters.
    Downloads: 83 This Week
    Last Update:
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  • 3
    DynamixelSDK

    DynamixelSDK

    ROBOTIS Dynamixel SDK (Protocol1.0/2.0)

    DYNAMIXEL SDK is a software development kit that provides DYNAMIXEL control functions using packet communication. The API of DYNAMIXEL SDK is designed for DYNAMIXEL actuators and DYNAMIXEL-based platforms. You need to be familiar with C/C++ programming language for right use of the software. This e-Manual provides comprehensive information on ROBOTIS products and applications.
    Downloads: 2 This Week
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  • 4
    Snap7

    Snap7

    32/64 bit multi-platform Ethernet S7 PLC communication suite

    Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full working server example is not bigger than the “Hello world”. Many projects/makefiles are ready to run to easily rebuild Snap7 in any platform without the need of be a C++ guru. ...
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    Downloads: 1,063 This Week
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  • 5
    KoboldCpp

    KoboldCpp

    Run GGUF models easily with a UI or API. One File. Zero Install.

    KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features.
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    Downloads: 390 This Week
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  • 6
    NebiOS Alternative Mirror (Official)

    NebiOS Alternative Mirror (Official)

    An Ubuntu Linux-based OS that aims to end user.

    NebiOS is Ubuntu-based secure, privacy-focused universal OS for daily life, creativity, gaming & more. Official mirror - use if main site has download issues. Main site: https://nebios.org ⚠️ DON'T DOWNLOAD FROM UNKNOWN SOURCES! 🛡️ Privacy: NebiOS has no telemetry, no background data services, no tracking daemons, and cannot send any personal data without user action. Full policy: nebisoftware.com/legal/privacy.html === 🚀 NebiOS X out now! ⚠️ Note on Virtual Machines:...
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    Downloads: 53 This Week
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  • 7
    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: 15 This Week
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  • 8
    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
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  • 9
    MCU live explorer

    MCU live explorer

    A project for simple and deep microcontroller unit management.

    This project is in beta phase and actually configured for ARM Cortex® M3 MCU, tested with stm32f103c8t6 "blue pill" Reference for configuration: RM0008 Reference manual STM32F101xx, STM32F102xx, STM32F103xx, STM32F105xx and STM32F107xx advanced Arm®-based 32-bit MCUs document available on STMicroelectronic official site Need be installed as prerequistite PYSWD, a python module for debugging microcontrollers with SWD using ST-Link/V2 (/V2-1) debugger available at...
    Downloads: 0 This Week
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  • 10

    turniket

    Registration passes at the turnstiles system

    system is designed to control staff access to production databases, as well as taking into account their passage of time.
    Downloads: 0 This Week
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  • 11

    serialLCD ATmega8 (ArduinoBased)

    The serial LCD module using ATmega8 along with easy arduino library.

    ...Only one wire simplex serial communication at baudrate 9600 is required to communicate with serialLCD module. The library & firmware file is released in public domain as open-source project. Feel free to edit/improve/share it. *** Raspberry Pi python library added. video available on youtube at: http://youtu.be/adNOWREWuL8
    Downloads: 0 This Week
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