Showing 30 open source projects for "device"

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  • 1
    Face Detector

    Face Detector

    Detect faces in real time

    This Face Detector app can able to detect multiple faces from images in Real-time or from any images that placed in device's storage. In Real-time detection mode user have to give permission to this app to access device camera and voice recorder. In Gallery mode user have to select images from external storage, then it can able to detect the actual faces. This is very short and simple AI based project that can runs on Firebase ML kit API and Google play vision API. This is completely free for you, let's download and Rock.
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  • 2
    AWS IoT Arduino Yún SDK

    AWS IoT Arduino Yún SDK

    SDK for connecting to AWS IoT from an Arduino Yún

    The AWS-IoT-Arduino-Yún-SDK allows developers to connect their Arduino Yún compatible Board to AWS IoT. By connecting the device to the AWS IoT, users can securely work with the message broker, rules and the Thing Shadow provided by AWS IoT and with other AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, etc. The AWS-IoT-Arduino-Yún-SDK consists of two parts, which take use of the resources of the two chips on Arduino Yún, one for native Arduino IDE API access and the other for functionality and connections to the AWS IoT built on top of AWS IoT Device SDK for Python. ...
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  • 3
    BCI Project Triathlon
    A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
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  • 4
    This is a simple C# implementation of HyperNEAT implemented on NVidia's Compute Unified Device Architecture (CUDA).
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  • 5

    text_summurization_abstractive_methods

    Multiple implementations for abstractive text summurization

    This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive
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