Victarry/Image-Generation-models
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
This project offers a powerful toolkit for researchers and developers working with computer vision to explore and implement various image generation techniques. It takes training image datasets (like MNIST, CelebA, or CIFAR10) and produces new, synthetic images that resemble the originals, leveraging different generative models such as GANs, VAEs, and Diffusion Models. It's designed for machine learning engineers and researchers focused on developing and evaluating advanced image synthesis algorithms.
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Use this if you are a machine learning researcher or engineer who needs a flexible and scalable framework to experiment with and compare various state-of-the-art image generation models using different datasets.
Not ideal if you are looking for a ready-to-use application to generate specific types of images without needing to delve into model configuration or training.
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Language
Python
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Last pushed
May 05, 2023
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