caetas/GenerativeZoo
Model Zoo for Generative Models.
This project provides a comprehensive toolkit for researchers and machine learning engineers working with generative models. It helps in quickly implementing and experimenting with various state-of-the-art generative algorithms like VAEs, GANs, and Diffusion Models. Users can input existing datasets and configure different model architectures to generate new data, perform image-to-image translation, or learn data distributions. It's designed for those who need to build, train, and evaluate generative AI solutions.
Use this if you are a machine learning researcher or engineer looking for a pre-implemented collection of generative models to use as a baseline or for rapid prototyping and experimentation.
Not ideal if you are an end-user without a technical background in machine learning and Python, as it requires significant setup and coding knowledge to operate.
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26
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2
Language
Python
License
CC-BY-4.0
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Last pushed
Dec 03, 2025
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