This is the Windows app named Generative Models whose latest release can be downloaded as generative-modelssourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Generative Models
DESCRIPTION:
This project is a comprehensive open-source collection of implementations of various generative machine learning models designed to help researchers and developers experiment with deep generative techniques. The repository contains practical implementations of well-known architectures such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Restricted Boltzmann Machines, and Helmholtz Machines, implemented primarily using modern deep learning frameworks like PyTorch and TensorFlow. These models are widely used in artificial intelligence to generate new data that resembles the training data, such as images, text, or other structured outputs. The repository serves as an educational and experimental environment where users can study how generative models work internally and replicate results from academic research papers.
Features
- Implementation of multiple generative models including GANs and VAEs
- Support for deep learning frameworks such as PyTorch and TensorFlow
- Educational examples for studying generative model architectures
- Modular code structure for experimenting with different models
- Reproducible implementations inspired by research papers
- Tools for training and evaluating generative neural networks
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/generative-models.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.