riejohnson/cfg-gan-pt
CFG-GAN (Composite Functional Gradient learning of GAN) in pyTorch
This project helps machine learning researchers or practitioners explore and train Generative Adversarial Networks (GANs) using a specific technique called CFG-GAN. It takes existing image datasets (like MNIST or LSUN bedroom images) as input and outputs trained GAN models that can generate new, realistic images similar to the training data. This tool is designed for those working on advanced image generation or synthetic data creation.
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Use this if you are a machine learning researcher or practitioner interested in experimenting with or applying composite functional gradient methods for training generative adversarial models to create synthetic images.
Not ideal if you are looking for a simple, out-of-the-box solution for image generation without deep technical involvement, or if you are not familiar with PyTorch and GAN training concepts.
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8
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2
Language
Python
License
MIT
Category
Last pushed
Jun 05, 2021
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