Metadata-Version: 2.1
Name: spectralLayersPyTorch
Version: 0.989
Summary: PyTorch NN based trainable spectral linear layers
Home-page: UNKNOWN
Author: Angela Botros & Narayan Schuetz
Author-email: narayan.schuetz@artorg.unibe.ch
License: MIT
Description: ## SpectralLayersPyTorch
        Trainable linear spectral layers for PyTorch
        
        Implements trainable spectral layers for PyTorch that can be initialized as 1-D & 2-D DCT and DFT transformations as shown in [paper](https://arxiv.org/abs/1911.05045).
        
        ## Install
        The package can be installed as follows:
        
            pip install spectral
            
        or
        
            pip install git+https://github.com/NarayanSchuetz/SpectralLayersPyTorch.git
            
        
        ## Attribution
        
        ```
        @misc{alberti2019trainable,
              title={Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks}, 
              author={Michele Alberti and Angela Botros and Narayan Schuez and Rolf Ingold and Marcus Liwicki and Mathias Seuret},
              year={2019},
              eprint={1911.05045},
              archivePrefix={arXiv},
              primaryClass={cs.CV}
           }
        ```
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
