Popular GitHub Repositories for Pymc

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 ;)

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

pymc-learn: Practical probabilistic machine learning in Python

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Book: Practical Probabilistic Machine Learning in Python

Advance Time Series Analysis using Probabilistic Programming, Auto Regressive Neural Networks and XGBoost Regression.

Distributed differentiable graph computation using PyTensor

Implementation of probabilistic programming and Bayesian algorithms in Python, based on C. Davidson's Bayesian Methods for Hackers

Google colab notebooks used in a lecture on machine learning

Testing deployment of PyMC models using MLFlow and BentoML.

Markov chain Monte Carlo and variational inference.