Showing 83 open source projects for "generator"

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  • 1
    A Netflix film cover generator Nuxt.js

    A Netflix film cover generator Nuxt.js

    A tool for generating Netflix show image

    We love Netflix, but we love memes even more. We thought that helping Netflix on their UI/UX testing with a tool that can create show images easily with an export function to png. A tool for generating Netflix shows an image. You can visit the demo website hosted on Netlify. This is an open-source tool and it is available on Github. On this tool you have a full editable canvas where you can edit content, text position, text dimension, gradient position and change the background image. In...
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  • 2
    HiFi-GAN

    HiFi-GAN

    Generative Adversarial Networks for Efficient and High Fidelity Speech

    HiFi-GAN is a GAN-based neural vocoder designed to generate high-fidelity speech waveforms from mel spectrograms with exceptional efficiency. It introduces a generator architecture tailored to model the periodic structure of speech and a set of discriminators that focus on different scales and periods of the waveform to better capture naturalness. The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than typical autoregressive models. ...
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  • 3
    DCGAN in Tensorflow

    DCGAN in Tensorflow

    Deep Convolutional Generative Adversarial Networks

    ...It serves both as an educational reference and as a practical starting point for developers experimenting with generative models. The implementation includes adjustments such as updating the generator more frequently than the discriminator to help stabilize training. Users can train models on built-in datasets or plug in their own image collections with minimal changes. Overall, the project remains a widely cited baseline for understanding GAN mechanics within the TensorFlow ecosystem.
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  • 4
    node-markov-generator

    node-markov-generator

    Generates simple sentences based on given text corpus

    This simple generator emits short sentences based on the given text corpus using a Markov chain. To put it simply, it works kinda like word suggestions that you have while typing messages in your smartphone. It analyzes which word is followed by which in the given corpus and how often. And then, for any given word it tries to predict what the next one might be.
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  • 5
    Ad Generator

    Ad Generator

    Professional text randomizer and ad generator by Airat Khalitov

    Professional text randomizer and ad generator by Airat Khalitov / Professional text randomizer and ad generator. Author: Airat Halitov. Visit 'Plugins, Add New', click 'Upload Plugin', upload the file 'ad-generator.zip', and activate Ad Generator from your Plugins page. Add [ad_generator] shortcode to WordPress Page. Create a new WordPress Page, add [ad_generator] shortcode and save.
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  • 6
    StarGAN

    StarGAN

    Official PyTorch Implementation

    ...The repository includes full training and inference pipelines for tasks such as facial attribute manipulation and style transfer. It demonstrates adversarial training strategies, domain classification losses, and generator-discriminator coordination required for stable multi-domain translation. Researchers and practitioners often use the project as a reference when studying conditional GANs and advanced image synthesis techniques. Overall, the repository provides a clean and practical baseline for experimenting with multi-domain generative modeling in PyTorch.
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  • 7
    perkun

    perkun

    two experimental AI languages + zubr

    ...Attempt to maximize the expected value of the payoff function by appropriate choosing the actions (output variables values). The package contains also a tool called zubr - a Java code generator based on Perkun. Take also a look at my blog: http://pawel-biernacki.blogspot.fi/ For Windows users there is an installer: http://www.pawelbiernacki.net/perkun.msi
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  • 8
    DCVGAN

    DCVGAN

    DCVGAN: Depth Conditional Video Generation, ICIP 2019.

    ...To add appropriate color to the geometrical information of the scene, the domain translation from depth to color is performed for each image. This model has three networks in the generator. In addition, the model has two discriminators.
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  • 9
    PyTorch pretrained BigGAN

    PyTorch pretrained BigGAN

    PyTorch implementation of BigGAN with pretrained weights

    ...This reimplementation was done from the raw computation graph of the Tensorflow version and behave similarly to the TensorFlow version (variance of the output difference of the order of 1e-5). This implementation currently only contains the generator as the weights of the discriminator were not released (although the structure of the discriminator is very similar to the generator so it could be added pretty easily.
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  • 10
    NASH OS

    NASH OS

    Nash Operating System for Modern Ecommerce

    The all-built-in-one, automatic, ready-to-go out-of-box, easy-to-use state-of-the-art, and really awesome NASH OS! Over 25,000+ flexible features and controls and all scalable!! The most powerful solution ever built to instantly deliver new heights of online ecommerce enterprise to you.
    Downloads: 4 This Week
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  • 11
    InfoGAN

    InfoGAN

    Code for reproducing key results in the paper

    ...InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the generator to structure its latent space in a way where certain latent variables control meaningful, distinct factors (e.g. rotation, width, stroke thickness) in the output images. The repository includes code for experiments (e.g. on MNIST), launcher scripts, and some tests. It depends on a development version of TensorFlow (the code expects features not in older stable releases), and also uses other libraries like prettytensor and progressbar.
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  • 12
    SG2Im

    SG2Im

    Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201

    ...The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery.
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  • 13
    php-text-generator

    php-text-generator

    Fast SEO text generator on a mask

    Fast SEO text generator on a mask. Written in PHP. I do not use regular expressions and the fastest. I covered tests and simple! Supporting recursive text generation rules. It supports multiple encodings. This package implements the functionality of a similar package for Go Lang. It supports multiple encodings. Supporting recursive text generation rules.
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  • 14
    Deepo

    Deepo

    Set up deep learning environment in a single command line

    Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment, supports almost all commonly used deep learning frameworks, supports GPU acceleration (CUDA and cuDNN included), also works in CPU-only mode, and works on Linux (CPU version/GPU version), Windows (CPU version) and OS X (CPU version). Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for you. For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command. ...
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  • 15

    TrackMania Challenge Generator

    Challenge generator for racing game 'TrackMania Nations Forever'

    A small tool which generates infinite number of different challenges for racing game 'TrackMania Nations Forever'. Currently only "Stadium" environment is supported. Latest release: 1.0.1.0, both English and Chinese version available.
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  • 16
    Fingrams Generator

    Fingrams Generator

    Stand-alone software tool able to generate and visualize fingrams.

    Stand-alone software tool able to generate and visualize fingrams. It handles fuzzy systems designed by whatever fuzzy modeling tool. This tool takes as input a standard configuration file easy to be generated from a fuzzy system. Currently, Fingrams can be generated for classification, regression fuzzy rule based systems and fuzzy association rules. GUAJE [http://www.softcomputing.es/guaje], and KEEL [http://www.keel.es] are able to automatically produce the required input file.
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  • 17

    libVMR

    VMR - machine learning library

    libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR).
    Downloads: 0 This Week
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  • 18

    A Data Generator

    A tool to generate synthetic test data useful to Record matchers

    ...Data generator also mangles field values of generated test data to achieve data errors and co-relate them in real life contexts like Family, Households, Organizations etc
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  • 19
    Ivolution

    Ivolution

    Timelapse creation using Face Recognition

    Ivolution is a face timelapse generator. Feed it with a bunch of images and it will generate a movie with your face centered on the screen. Ivolution uses face detection and modifies the images so that your face always keeps the same size and location over the movie. Images are processed in chronological order, so that you can see your face evoluate over time !
    Downloads: 0 This Week
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  • 20
    pyIRDG

    pyIRDG

    IMDb Relational Dataset Generator

    pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit...
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  • 21
    Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
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  • 22
    KUBOKU is a real 3D version of the Sudoku game for Linux and for Windows. It comes with a nice 2D or 3D graphical interface, a real-time game generator, different difficulties, a detailed help file and a high score. English and French versions !
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  • 23
    Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
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  • 24
    Pylero
    Pylero is an open-source Python-based text generator.
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  • 25
    lightJacc is a small but strong grammar parser generator. It adopts a parsing strategy of its own: dynamic concurrent parsing -- which made it much stronger than LR or LL family CCs (YACC, ANTLR, etc), but still keep good performance.
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