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reproducible-research

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The aim of this practical course is to start from a simple deep learning model implemented in a notebook, and port it to a ‘reproducible’ world by including code versioning (Git), data versioning (DVC), experiment logging (Weight & Biases), hyper-parameter tuning, configuration (Hydra), and ‘Dockerization’.

  • Updated May 31, 2023
  • Jupyter Notebook

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