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  1. A pair of deep convolutional enoder-decoder networks that take 2D diffraction data and output the corresponding structure and phase

    Jupyter Notebook 1

  2. CNN classifier on the Fourier Transform of MNIST data with >95% accuracy

    Jupyter Notebook 1 1

  3. Python implementation of image reconstruction from X-ray imaging data

    Jupyter Notebook

  4. Scripts to pre-process data for MD/DFT simulations

    Python

  5. Scripts that voxelize 3D/2D data and plot heat maps/3D volumes

    Python

  6. Study latent space dimensionality on reconstruction accuracy in variational autoencoders using Keras and Tensorflow

    Jupyter Notebook

55 contributions in the last year

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Contribution activity

July - August 2019

mcherukara has no activity yet for this period.

June 2019

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