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DeepArchitect: Automatically Designing and Training Deep Architectures

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DeepArchitect: Automatically Designing and Training Deep Architectures

This repository contains a Python implementation of the DeepArchitect framework described in our paper. To get familiar with the framework, we recommend starting with this tutorial.

A tar file with the logs of the experiments in the paper is available here. You can download it, unzip it in the top folder of the repo, and generate the plots of the paper using plots.py. The logs are composed of text and pickle files. It may be informative to inspect them. The experiments reported in the paper can be reproduced using experiments.py.

Contributors: Renato Negrinho, Geoff Gordon, Matt Gormley, Christoph Dann, Matt Barnes.

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  • Python 84.2%
  • Jupyter Notebook 15.7%
  • Shell 0.1%