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@spdes

SPDEs

Stochastic partial differential equations.

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  1. computational-sde-intro-lecture computational-sde-intro-lecture Public

    Lecture "A computational introduction to stochastic differential equations".

    Jupyter Notebook 16 1

  2. gp gp Public

    Lecture note Gaussian processes

    TeX 3

  3. chirpgp chirpgp Public

    Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes

    Python 10

  4. kalman-rust kalman-rust Public

    A simple implementation of Kalman filter and RTS smoother in Rust (ndarray)

    Rust 8 1

  5. pbnn pbnn Public

    On Feynman--Kac training of partial Bayesian neural networks

    Python 6

Repositories

Showing 7 of 7 repositories
  • chirpgp Public

    Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes

    spdes/chirpgp’s past year of commit activity
    Python 10 GPL-3.0 0 0 0 Updated Oct 30, 2024
  • gp Public

    Lecture note Gaussian processes

    spdes/gp’s past year of commit activity
    TeX 3 0 0 0 Updated Sep 19, 2024
  • gdcs Public

    Generative diffusion conditional sampling

    spdes/gdcs’s past year of commit activity
    Python 2 Apache-2.0 0 0 0 Updated Sep 17, 2024
  • pbnn Public

    On Feynman--Kac training of partial Bayesian neural networks

    spdes/pbnn’s past year of commit activity
    Python 6 0 0 0 Updated Feb 23, 2024
  • computational-sde-intro-lecture Public

    Lecture "A computational introduction to stochastic differential equations".

    spdes/computational-sde-intro-lecture’s past year of commit activity
    Jupyter Notebook 16 1 0 0 Updated Dec 25, 2022
  • kalman-rust Public

    A simple implementation of Kalman filter and RTS smoother in Rust (ndarray)

    spdes/kalman-rust’s past year of commit activity
    Rust 8 1 1 0 Updated Feb 2, 2022
  • spdes/MSML21_BayesianNODE’s past year of commit activity
    Julia 0 14 0 0 Updated May 28, 2021

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