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  • UC San Diego
  • San Diego
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mukeshramancha/README.md

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Hi 👋, I am Mukesh Ramancha

I'm a postdoctoral researcher at UC San Diego working on developing digital twins for physical systems. My work focuses on updating physics-based models using advanced statistical learning methods. This is part of an emerging discipline known as Scientific Machine Learning.

Popular repositories

  1. transitional-mcmc transitional-mcmc Public

    This repo contains the code of Transitional Markov chain Monte Carlo algorithm

    Python 16 2

  2. uq-course uq-course Public

    Forked from PredictiveScienceLab/uq-course

    Introduction to Uncertainty Quantification

    Jupyter Notebook 1 1

  3. SimCenterBootcamp SimCenterBootcamp Public

    Forked from NHERI-SimCenter/SimCenterBootcamp2018

    Misc Stuff related to SimCenter Programming Bootcamp

    C

  4. Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Public

    Forked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

    Jupyter Notebook

  5. OpenSees OpenSees Public

    Forked from OpenSees/OpenSees

    OpenSees Source Code Repository

    C++

  6. introtodeeplearning introtodeeplearning Public

    Forked from aamini/introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

    Jupyter Notebook