Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
-
Updated
Jan 1, 2020 - Python
Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
Very easy Bayesian regression.
Bayesian Analysis in Python (2nd ed.) with Numpyro
Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.
Scalable Bayesian Modelling: A comparison
Bayesian Learning and Neural Networks (jupyter book sources)
Statistical rethinking by Richard McElreath. Learning notes, code port to PyMC (mainly for MCMC) v5 & Numpyro (mainly for `quap`).
Estimating time trees from very large phylogenies
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic deep learning using JAX
Pretty, easy, flexible Bayesian estimation with data overlay
My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.
Mixture regression models for NumPyro.
Build, fit, and sample from cognitive models with JAX + NumPyro.
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..
Summary notebook implementing Bayesian Model Averaging with numpyro.
Add a description, image, and links to the numpyro topic page so that developers can more easily learn about it.
To associate your repository with the numpyro topic, visit your repo's landing page and select "manage topics."