ckczzj/PDAE
Official PyTorch implementation of PDAE (NeurIPS 2022)
This project helps machine learning researchers extract meaningful features from large image datasets without needing labeled examples. It takes raw image data, like faces or horses, and outputs a refined numerical representation for each image. Researchers can then use these representations for tasks like image reconstruction, interpolation, or manipulating image attributes.
223 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher working with large, unlabeled image datasets and need to learn robust, low-dimensional representations for tasks like generative modeling or attribute manipulation.
Not ideal if you are looking for an out-of-the-box solution for end-user image editing or if you do not have a strong background in deep learning research and model training.
Stars
223
Forks
14
Language
Python
License
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Category
Last pushed
Mar 05, 2024
Commits (30d)
0
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