andylolu2/jax-vqvae-gpt
Implementation of VQ-VAE with a GPT-style sampler in the JAX and Haiku ecosystem.
This project helps machine learning practitioners generate new images from a dataset. It takes an existing collection of images, learns their features, and then creates novel, synthetic images that resemble the originals. It's designed for researchers or developers experimenting with generative AI models and image synthesis.
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Use this if you are a machine learning researcher or developer working with JAX and Haiku and need to implement and experiment with a VQ-VAE model for image generation using a GPT-style sampler.
Not ideal if you are an end-user looking for a ready-to-use image generation application without needing to code or manage machine learning model training.
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Language
Python
License
MIT
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Last pushed
Nov 23, 2023
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