There are 2 repositories under pymc topic.
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 ;)
A python tutorial on bayesian modeling techniques (PyMC3)
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
How to do Bayesian statistical modelling using numpy and PyMC3
A fast and easy to use, moddable, Python based Minecraft server!
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Website: Data Umbrella & PyMC open source sessions
프로그래머를 위한 베이지안 with 파이썬
Baker Project: Dockerfile for Bayesian Analysis
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Solutions to some of the problems in "Statistical Rethinking"
An example plugin for the PyMine-Server plugin system
Physiological signals recorded with a Microsoft Band 2 are processed and modeled with a basic bayesian model to infer exaltation and relaxation states of mind
Distributed differentiable graph computation using PyTensor
A sphinx primer for ArviZ and PyMC contributors
Replication materials for "The Relational Bases of Informal Financial Cooperation" (Simpson, In Prep.)
Robust Linear Regression with PyMC3
Horseshoe regression model fitted in PyMC.
Google colab notebooks used in a lecture on machine learning
Bicyclus, a Bayesian Inference module for Cyclus
Demonstrating the use of behavior-driven development (BDD) to Bayesian growth models for assumption tracking.
Tutorials for the synthetic control method for causal inference using PyMC
Various models and techniques to show how to handle heteroscedastic data
Python version of McElreath's Statistical Rethinking package
Statistical rethinking by Richard McElreath. Learning notes, code port to PyMC (mainly for MCMC) v5 & Numpyro (mainly for `quap`).
Testing deployment of PyMC models using MLFlow and BentoML.
Python package of the 'Tumoroscope' model implemented in PyMC.
Pi Day with PyLadies || How to Contribute to Open Source Projects & Networking @ Verizon Digital Media Services