Showing 82 open source projects for "multi-layer perceptron python"

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  • 1

    Flask-AppBuilder

    Rapid web application development (python + Flask)

    Simple and rapid Application builder, built on top of Flask. includes detailed security, auto form generation, google charts and much more. Demo on: http://flaskappbuilder.pythonanywhere.com/
    Downloads: 0 This Week
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  • 2
    z-utalm

    z-utalm

    Unified Test and Logging layer for multiple programming languages

    Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development,...
    Downloads: 2 This Week
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  • 3

    PyProperties

    Provides support for properties files in Python 3.x

    pyproperties provides support for properties files in Python. Being written entirely from scratch it is not in any way derived from java.util.Properties. There are projects which try to mimic j.u.P. This is not one of them. It can read, parse and store properties files but also provides some more advanced functionality like manipulating comments and type-guessing.
    Downloads: 0 This Week
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  • 4

    pytkmdiapp

    Python package to develop a simple app. with multi-window tk interface

    Python package to develop a simple application with multi-window interface using tkinter library.
    Downloads: 0 This Week
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  • 5
    MCPN
    Multi-Core optimized Perceptron Network is a high-performance artificial neural network specially designed for workstations with multi-core CPUs, implemented as a shared library and coded in C++.
    Downloads: 0 This Week
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  • 6
    Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
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  • 7
    Neural network library for C++ applications in Windows and Linux. Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported. You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
    Downloads: 0 This Week
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