snowkylin/rnn-vae
Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
This project helps researchers and machine learning practitioners explore and generate new images from existing datasets. It takes a collection of images as input and learns their underlying patterns, allowing you to then generate new, similar images or visualize the learned features. This tool is for those working on generative models or exploring image data.
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Use this if you are a researcher or ML practitioner experimenting with generating novel images or understanding latent representations of image datasets.
Not ideal if you need a pre-trained, production-ready image generation model for immediate application rather than a research tool.
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39
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12
Language
Python
License
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Last pushed
Jan 06, 2017
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