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DeepLearning

Deep Learning Course CS4180

Contents:

  • smolnet: Student teacher method
  • pytorch-weight-prune-develop: Weight pruning method
  • terraform: Automated benchmark setup
  • pytorch-AdAIN -master: Evaluated project of Huang et al. Also included our life demo -> works by running camera_transfer.py and specifying the style on line 149: style = style_tf(Image.open("input/style/sketch.png")) The project can be tested by running test.py from the comment line -> example to run an example: python test.py --content_dir input/content --style_dir input/style The benchmarking code is located in the test.py file.

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Deep Learning Course CS4180

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