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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Jun 25, 2024 - Jupyter Notebook
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pymc
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A python tutorial on bayesian modeling techniques (PyMC3)
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Apr 29, 2017 - Jupyter Notebook
A Python package for causal inference in quasi-experimental settings
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Oct 14, 2025 - Python
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
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Jun 15, 2020 - Jupyter Notebook
How to do Bayesian statistical modelling using numpy and PyMC3
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Jul 11, 2022 - Jupyter Notebook
A fast and easy to use, moddable, Python based Minecraft server!
python minecraft server async minecraft-server plugins asyncio pymc mc mc-server minecraftserver java-edition mcje plugins-api mcserver pymine pythonmine pythonminecraft mcpy async-networking
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Dec 13, 2022 - Python
Solve ODEs fast, with support for PyMC
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May 13, 2024 - Jupyter Notebook
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
theano tensorflow minikanren pymc probabilistic-programming bayesian symbolic-computation symbolic-math relational-programming
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Mar 20, 2024 - Python
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
flask deep-learning bokeh pymc protein-sequences influenza gaussian-processes flu vaccine variational-autoencoders flu-forecaster influenza-protein-sequences
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Aug 23, 2023 - Jupyter Notebook
Toolbox for non-linear calibration modeling.
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Sep 8, 2025 - Jupyter Notebook
Website: Data Umbrella & PyMC open source sessions
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May 28, 2024 - Jupyter Notebook
프로그래머를 위한 베이지안 with 파이썬
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May 25, 2018 - Jupyter Notebook
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
deep-learning pymc global-optimization sensitivity-analysis bayesian-optimization bayesian-statistics kriging uncertainty-analysis approximate-bayesian-computation polynomial-chaos-expansion surrogate-models generative-neural-network optuna likelihood-free-inference simulation-based-inference sobol-indices shuffled-complex-evolution differential-evolution-mcmc polynomial-chaos bolfi
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Mar 18, 2025 - Python
Mastering Gaussian Processes with PyMC
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Aug 18, 2025 - Jupyter Notebook
Solutions to some of the problems in "Statistical Rethinking"
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Nov 10, 2020 - Jupyter Notebook
Scalable Bayesian Modelling: A comparison
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Mar 28, 2023 - Jupyter Notebook
Tutorials for the synthetic control method for causal inference using PyMC
python pymc bayesian-inference causality causality-analysis causal-inference bayesian-statistics synthetic-control causal-models bayesian-models causality-algorithms causal-discovery causal-modelling causal-modeling synthetic-control-method
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Feb 3, 2024 - Jupyter Notebook
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
microsoft pymc bayesian-inference microsoft-band-2 pymc3 physiological-signals microsoft-band emotion-recognition physiological-data sshelper
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Apr 15, 2018 - Jupyter Notebook
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