Showing 3 open source projects for "visual basic .net"

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  • Transform months of data modeling and coding into days. Icon
    Transform months of data modeling and coding into days.

    Automatically generate, document, and govern your entire data architecture.

    Efficiently model your business and data models, and generate code for your data pipelines, data lakehouse, and analytical applications
    Learn More
  • Kinetic Software - Epicor ERP Icon
    Kinetic Software - Epicor ERP

    Discrete, make-to-order and mixed-mode manufacturers who need a global cloud ERP solution

    Grow, thrive, and compete in a global marketplace with Kinetic—an industry-tailored, cognitive ERP that helps you work smarter and stay connected.
    Learn More
  • 1
    zvt

    zvt

    Modular quant framework

    For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt....
    Downloads: 0 This Week
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  • 2
    MMDeploy

    MMDeploy

    OpenMMLab Model Deployment Framework

    ...Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy.
    Downloads: 0 This Week
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  • 3
    Machine Learning Glossary

    Machine Learning Glossary

    Machine learning glossary

    Machine Learning Glossary is an open educational project that provides clear explanations of machine learning terminology and concepts through visual diagrams and concise definitions. The goal of the repository is to make machine learning topics easier to understand by presenting definitions alongside examples, visual illustrations, and references for further learning. It covers a wide range of topics including neural networks, regression models, optimization techniques, loss functions, and evaluation metrics. ...
    Downloads: 0 This Week
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