Showing 5 open source projects for "facerecognitiondelphi/pascal"

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  • 1
    Project EVE AI
    EVEAI is a Deep Learning Library based on python Keras and Tensorflow. EVEAI dll allows embedding inference images from keras models into user-written applications. Under Windows, the EVEAI training Tool provides services to train user specific image datasets and EVEAI dll provides services to existing Windows applications which support inference images. Please visit https://github.com/Hommoner/EVEAI for more information.
    Downloads: 1 This Week
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  • 2
    MultiPathNet

    MultiPathNet

    A Torch implementation of the object detection network

    ...This results in improved detection accuracy across various object sizes and categories compared to standard single-path architectures. The repository supports training, evaluation, and visualization for object detection tasks on popular datasets such as PASCAL VOC and MS COCO. It provides pre-trained models for VGG, AlexNet, and ResNet backbones, along with integration for SharpMask and DeepMask proposal generators.
    Downloads: 0 This Week
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  • 3
    MEDDAC is the seeding point for designing a new approach to Operating System design itself. It is an Open Source project with roots in mainframe design and development the author began in 1979. Monitor Editor Disassembler Decompiler Assembler Compiler
    Downloads: 0 This Week
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  • 4
    3D space trade / action / colonization game seen from eyes of your player/cockpit . longterm : complex features in all aspects of game, multiplayer. Generally every can join , more good people = better.
    Downloads: 0 This Week
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  • 5
    kombinatoriC delta library

    kombinatoriC delta library

    CAS Algorithms embeded as libraries.

    Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal. As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository. The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration.
    Downloads: 0 This Week
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