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    • Anthony Faustine

      January 20, 2020

    Bayesian Inference

    Principle of bayesian varitaional inference

    The post introduce the basics principle of bayesian varitaional inference as one of the approach used to approximate difficult probability distribution.

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    • Anthony Faustine

      February 20, 2019

    Mixture Density Newtorks (MDN)

    flexible framework for modeling an arbitrary conditional probability distribution

    This post introduce Mixture Density Network and show how it can be used for regression problem using pytorch framework.

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    • Anthony Faustine

      September 3, 2017

    Mastering the Fundamentals

    A guide to OpenDSS for Low voltage power distribution modeling

    This post introduce Mixture Density Network and show how it can be used for regression problem using pytorch framework.

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