achraf-azize / Stage2020-CA-MAP594

Packages and scripts developed during my research internship at CA

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Stage2020-CA-MAP594

Packages and scripts developed during my research internship at CA.

1- Interpreter_toolbox is a package developed to explain different models. Exemple_interpret_toolbox.ipynb is an exemple of how to use the toolbox, and the expected results

2- Benchmark_deep_with4-datasets.ipnyb can be used to reproduce the results of our benchmark of a neural nerwork architecture, applied to tabular data, and compared to tree based algorithm

3- AutoDl_script_complete.ipynb is an end-to-end script exemple to use our AutoDL toolbox.

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Packages and scripts developed during my research internship at CA


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Language:Jupyter Notebook 93.9%Language:Python 6.1%