Here are
24 public repositories
matching this topic...
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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Dec 19, 2023
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Jupyter Notebook
Bayesian Learning and Neural Networks (jupyter book sources)
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Apr 18, 2023
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Jupyter Notebook
Estimating time trees from very large phylogenies
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Nov 1, 2023
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Python
A multiverse of Prophet models for timeseries
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May 28, 2024
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Python
Probabilistic deep learning using JAX
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Mar 6, 2024
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Python
Efficient library for spectral analysis in high-energy astrophysics.
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Jun 3, 2024
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Python
Scalable Bayesian Modelling: A comparison
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Mar 28, 2023
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Jupyter Notebook
My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.
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Apr 23, 2024
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Python
Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.
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Feb 24, 2023
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Jupyter Notebook
Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
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May 16, 2024
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Jupyter Notebook
Very easy Bayesian regression.
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Dec 25, 2020
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Python
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
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May 20, 2024
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Jupyter Notebook
Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
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Jan 1, 2020
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Mixture regression models for NumPyro.
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May 14, 2024
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Statistical rethinking by Richard McElreath. Learning notes, code port to PyMC (mainly for MCMC) v5 & Numpyro (mainly for `quap`).
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May 10, 2023
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Jupyter Notebook
Build, fit, and sample from cognitive models with JAX + NumPyro.
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May 14, 2024
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Python
my collection of notebooks from issues, pull requests, forum
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Nov 1, 2020
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Jupyter Notebook
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Oct 19, 2021
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Jupyter Notebook
A basic example to run ML code on SLURM (specifically Oxford's ARC systems) in a organised fashion
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Dec 26, 2022
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Jupyter Notebook
Summary notebook implementing Bayesian Model Averaging with numpyro.
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May 20, 2024
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Jupyter Notebook
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