KiUngSong/Generative-Models
Repository of Various Test & Implementation of Generative Models
This collection of generative models helps machine learning engineers and researchers explore and implement various state-of-the-art architectures. It provides ready-to-use examples for generating new data, such as images, or transforming existing data, like enhancing image resolution. The models included are foundational for tasks requiring synthetic data creation or complex data manipulation.
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Use this if you are a machine learning practitioner looking for tested implementations of generative models like GANs, VAEs, Flow-based models, and Diffusion models for research or application development.
Not ideal if you are an end-user seeking a ready-made application or tool for generating specific content without delving into model implementation details.
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37
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8
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Jupyter Notebook
License
MIT
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Last pushed
Aug 06, 2024
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