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tomogan-ocl's Introduction

TomoGAN-OCL

this is nearly a hard coded implementation of the TomoGAN generator using OpenCL from scratch.

This is a naive implementation of convolution neural network for learning/education purpose, not an optimal implementation

Please cite our works, as follows, if you used this repo for your research

@inproceedings{liu2019deep,
    title={Deep Learning Accelerated Light Source Experiments},
    author={Zhengchun Liu and Tekin Bicer and Rajkumar Kettimuthu and Ian Foster},
    year={2019},
    booktitle={2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS)},
    pages={20--28},
    doi={10.1109/DLS49591.2019.00008}
}

@article{liu2020tomogan,
  title={TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion},
  author={Liu, Zhengchun and Bicer, Tekin and Kettimuthu, Rajkumar and Gursoy, Doga and De Carlo, Francesco and Foster, Ian},
  journal={Journal of the Optical Society of America A},
  volume={37},
  number={3},
  pages={422--434},
  year={2020},
  doi={10.1364/JOSAA.375595},
  publisher={Optical Society of America}
}

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