Showing 7 open source projects for "input-leap"

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  • 1

    Training Image Operators from Samples

    Tools to train Image Operators automatically from a set of samples.

    TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image.
    Downloads: 0 This Week
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  • 2
    Grenade

    Grenade

    Deep Learning in Haskell

    ...Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only the layers of the network but also the shapes of data that are passed between the layers. To perform back propagation, one can call the eponymous function which takes a network, appropriate input, and target data, and returns the back propagated gradients for the network. The shapes of the gradients are appropriate for each layer and may be trivial for layers like Relu which have no learnable parameters.
    Downloads: 0 This Week
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  • 3

    LWPR

    Locally Weighted Projection Regression (LWPR)

    Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005)...
    Downloads: 0 This Week
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  • 4

    C/C++ Perceptron

    A Perceptron library for C/C++

    The library enables to create perceptrons with desired number of inputs and customized train rate. It enables to train the perceptrons according to the user input. Check the Wiki page for usage examples and API
    Downloads: 0 This Week
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  • 5
    cCNN

    cCNN

    A fast implementation of LeCun's convolutional neural network

    Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin.
    Downloads: 0 This Week
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  • 6
    SimpleAiBot

    SimpleAiBot

    A simple chat bot project for educational purposes! (OS X Only)

    SimpleAiBot is created for educational purposes but it can grow out to something much bigger, however still educational. This project exists so other people can actually look at the code of a working chat bot and learn from it or even improve SimpleAiBot! If you're looking for this: this is it! Also don't hesitate to join and improve SimpleAiBot, better make your changes public and usable to everyone then experimenting on your own. PS: More experienced AI developers are also welcome to...
    Downloads: 0 This Week
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  • 7

    GP System in C/C++

    GP System in C/C++

    This is a very elementary GP system written in C/C++ of symbolic regression,The input to the program is the file containing Terminal set.
    Downloads: 0 This Week
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