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Inverse deisng for meta-material using deep learning

Author: Ben Ren

This is a transfering repo from the idlm_Ben which is in tensorflow into the current Pytorch version.

There would be 5 models in this repo

Finished Models:

  1. forward model (The christian's model mapping from geometry to spectra)
  2. Backpropagation model
  3. Tandem model
  4. Variational Auto-Encoder model
  5. Convolutional Generative Adverserial Network model

Models working now:

  1. Invertible Neural Network

Models to be worked on:

Please see into the folder of each model and see the README file for developer log for more details of the progress.

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The Pytorch version for the inverse deep learning meta material project

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  • Python 97.6%
  • Shell 2.4%