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  • 1
    javascript-keypress-learning-kit
    Just download the above zip file, extract it and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome.
    Downloads: 0 This Week
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  • 2
    Voice Accounting For Blind & Mute People

    Voice Accounting For Blind & Mute People

    Free & Easy AI Voice Accounting Software For Blind & Speechless People

    Just download the above zip file, extract it and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome. Also, please view and download my full collection of softwares for people with disabilities, here : https://sourceforge.net/projects/softwares-for-disabled-people/ This full collection also includes the Voice Accounting Software as well.
    Downloads: 0 This Week
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  • 3
    Softwares For Blind, Deaf, Handicap

    Softwares For Blind, Deaf, Handicap

    Easy AI Softwares for Blind, Deaf, Handicapped, Disabled People

    Just download the above zip file, extract it first and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome. Also, keep NumLock ON while using the Numeric Keypad of any Keyboard. Can also attach an external USB keyboard, with seperate Numeric Keypad, if required. I have added some general guidelines for students, using these softwares, on the Wiki Page of this website.
    Downloads: 0 This Week
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  • 4
    AiBO+
    The project builds a new AI of AIBO from scratch. Currently, I have a white ERS-7 model, Rakka. Project is based on Boost, Qt, OpenCV, other 3rd party software and my own source codes.
    Downloads: 0 This Week
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  • 5
    Userge

    Userge

    Userge, Durable as a Serge

    UserGe is a Powerful, Pluggable Telegram UserBot written in Python using Pyrogram by which you can Automate your Telegram account to work as you want. It comes with salient and descriptive features that help you to manage your task with some easy command.
    Downloads: 0 This Week
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  • 6

    DGRLVQ

    Dynamic Generalized Relevance Learning Vector Quantization

    Some of the usual problems for Learning vector quantization (LVQ) based methods are that one cannot optimally guess about the number of prototypes required for initialization for multimodal data structures i.e.these algorithms are very sensitive to initialization of prototypes and one has to pre define the optimal number of prototypes before running the algorithm. If a prototype, for some reasons, is ‘outside’ the cluster which it should represent and if there are points of a different...
    Downloads: 0 This Week
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