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  1. deep-learning-uncertainty

    Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

    Python 132 22

  2. AutoPrognosis

    Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

    Python 18 8

  3. Symbolic-Metamodeling

    Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.

    Jupyter Notebook 14 8

404 contributions in the last year

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Contributed to ahmedmalaa/deep-learning-uncertainty, ahmedmalaa/Symbolic-Metamodeling, ahmedmalaa/website and 5 other repositories

Contribution activity

July 2020

1 contribution in private repositories Jul 9

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