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 ;)
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Updated
Nov 29, 2023 - Jupyter Notebook
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 ;)
Probabilistic reasoning and statistical analysis in TensorFlow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Notebooks about Bayesian methods for machine learning
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
High-quality implementations of standard and SOTA methods on a variety of tasks.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
rstanarm R package for Bayesian applied regression modeling
Data Assimilation with Python: a Package for Experimental Research
🚂 Python API for Emma's Markov Model Algorithms 🚂
A collection of Bayesian data analysis recipes using PyMC3
A simple probabilistic programming language.
shinystan R package and ShinyStan GUI
Tutorials on data assimilation (DA) and the EnKF
Statistical Rethinking course in pymc3
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
Statistical Rethinking with PyTorch and Pyro
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
A Java Toolbox for Scalable Probabilistic Machine Learning
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