Showing 4 open source projects for "gui programming in python"

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  • 1
    [OFFICIAL] tinyfiledialogs C C++ v3.19.3

    [OFFICIAL] tinyfiledialogs C C++ v3.19.3

    inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal

    one C/C++ file & header provides 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & GUI-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix...
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    Downloads: 58 This Week
    Last Update:
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  • 2
    ACMESharp

    ACMESharp

    An ACME client library and PowerShell client for the .NET platform

    An ACME client library and PowerShell client for the .NET platform. This project implements a client library and PowerShell client for the ACME protocol. ACMESharp is interoperable with the CA server used by the Let's Encrypt project which is the reference implementation for the server-side ACME protocol. ACMESharp includes features comparable to the official Let's Encrypt client which is the reference implementation for the client-side ACME protocol. The ACMESharp client implementation is...
    Downloads: 0 This Week
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  • 3
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 2 This Week
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  • 4
    Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
    Downloads: 23 This Week
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