Showing 5 open source projects for "open gamma"

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  • 1

    Image Augment Generator

    Dataset Image Augmentation Generator is a desktop application

    Dataset Image Augmentation Generator is a desktop application that creates multiple variations of images to expand machine learning datasets. Users select a folder of images, choose from 30 augmentation techniques, and the tool generates new images with one click, then packages them into a downloadable ZIP file. Key Feature: 30 Augmentation Techniques 1. Geometric Transformations: Rotation (-3° to +3°), Horizontal/Vertical Flip, Random Shear, Zoom, Translation, Perspective Transform 2....
    Downloads: 1 This Week
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  • 2
    pomegranate

    pomegranate

    Fast, flexible and easy to use probabilistic modelling in Python

    pomegranate is a library for probabilistic modeling defined by its modular implementation and treatment of all models as the probability distributions they are. The modular implementation allows one to easily drop normal distributions into a mixture model to create a Gaussian mixture model just as easily as dropping a gamma and a Poisson distribution into a mixture model to create a heterogeneous mixture. But that's not all! Because each model is treated as a probability distribution,...
    Downloads: 0 This Week
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  • 3
    Recurrent Interface Network (RIN)

    Recurrent Interface Network (RIN)

    Implementation of Recurrent Interface Network (RIN)

    Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch. The author unawaredly reinvented the induced set-attention block from the set transformers paper. They also combine this with the self-conditioning technique from the Bit Diffusion paper, specifically for the latents. The last ingredient seems to be a new noise function based around the sigmoid, which the author claims is better than cosine...
    Downloads: 0 This Week
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  • 4
    distribution-is-all-you-need

    distribution-is-all-you-need

    The basic distribution probability Tutorial for Deep Learning Research

    distribution-is-all-you-need is a Python-based probability tutorial aimed at deep learning researchers and students. It explains common discrete and continuous distributions through short scripts, formulas, descriptions, and plotted graphs. Covered topics include uniform, Bernoulli, binomial, categorical, multinomial, beta, Dirichlet, gamma, exponential, Gaussian, normal, chi-squared, and Student's t distributions. The material highlights relationships such as conjugate priors and...
    Downloads: 0 This Week
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  • 5
    HSSVM(Hyper-Sphere Support Vector Machines) is a software for solving multi-classification problem, implemented by Java.
    Downloads: 0 This Week
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