Official pytorch implementation of the paper "Bayesian Meta-Learning for...
Statistical Rethinking with PyTorch and Pyro
loo R package for approximate leave-one-out cross-validation (LOO-CV) an...
Personal project to compare hierarchical linear regression in PyMC3 and ...
Tutorials on data assimilation (DA) and the EnKF
Differentiable Programming Algorithms in Modern C++
A Java Toolbox for Scalable Probabilistic Machine Learning
A probabilistic programming language that combines automatic differentia...
Modular and scalable computational imaging in Python with GPU/out-of-cor...
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Prat...
Bayesian optimization for Julia
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces B...
Python implementation of Bayesian Program Learning tools (with PyTorch)
Multiagent reinforcement learning simulation framework - Undergraduate t...
Bayesian Methods for Machine Learning