MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks

Python Submitted 10 July 2019Published 30 July 2019
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Editor: @terrytangyuan (all papers)
Reviewers: @GregaVrbancic (all reviews), @sepandhaghighi (all reviews)

Authors

Sil C. van de Leemput (0000-0001-6047-3051), Jonas Teuwen, Bram van Ginneken, Rashindra Manniesing

Citation

van de Leemput et al., (2019). MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks. Journal of Open Source Software, 4(39), 1576, https://doi.org/10.21105/joss.01576

@article{van de Leemput2019, doi = {10.21105/joss.01576}, url = {https://doi.org/10.21105/joss.01576}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {39}, pages = {1576}, author = {Sil C. van de Leemput and Jonas Teuwen and Bram van Ginneken and Rashindra Manniesing}, title = {MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks}, journal = {Journal of Open Source Software} }
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MemCNN PyTorch machine learning invertible networks deep learning

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