wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
This collection helps machine learning researchers and practitioners experiment with advanced generative models to create new, synthetic data from existing datasets. You provide an initial dataset of images, text, or other patterns, and the models generate novel, similar outputs. It's designed for those exploring the cutting edge of artificial intelligence for content creation, data augmentation, or anomaly detection.
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Use this if you are a machine learning researcher or engineer interested in exploring and implementing various generative adversarial networks (GANs), variational autoencoders (VAEs), or related models for data synthesis and generation.
Not ideal if you need a plug-and-play solution for a specific data generation task without deep understanding or modification of the underlying machine learning models.
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Mar 24, 2024
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