davitpapikyan/Normalizing-Flow-with-Diffusion-Prior-Model
Normalizing Flow with Diffusion Prior Model (NFDPM)
This project helps machine learning researchers efficiently generate high-quality synthetic data, especially complex images. By inputting existing datasets, it produces new, realistic data samples. This is ideal for those working on tasks that require augmenting limited datasets or exploring new data distributions.
No commits in the last 6 months.
Use this if you need to synthesize realistic high-dimensional data, such as images, for research or development purposes.
Not ideal if you are looking for a simple, off-the-shelf data augmentation tool without deep understanding of generative models.
Stars
9
Forks
1
Language
Python
License
MIT
Category
Last pushed
Dec 14, 2024
Commits (30d)
0
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