Succesive Subspace Learning (SSL)

An efficient implemenation of SSL in PyTorch library

This repo containes a very fast and effiecient implemenation of SSL using torch library.

Please cite the following reference if you use torch_SSL:

@article{azizi2022pager,
  title={PAGER: Progressive Attribute-Guided Extendable Robust Image Generation},
  author={Azizi, Zohreh and Kuo, C-C Jay and others},
  journal={APSIPA Transactions on Signal and Information Processing},
  volume={11},
  number={1},
  year={2022},
  publisher={Now Publishers, Inc.}
}

Usage

• Clone the repo and cd into it.
• Run pip install torch.
• Run pip install numpy.
• If you wish to force the code to run on CPU, open torch_configs.py and uncomment line #6. Otherwise, it will be run on GPU if available.
• Run torch_ssl.py to see the example usage included under if __name__=="__main__":.