Examples of PyMC models, including a library of Jupyter notebooks.
☆397Jul 9, 2026Updated last month
Alternatives and similar repositories for pymc-examples
Users that are interested in pymc-examples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Powerful add-ons for PyMC☆143Updated this week
- Exploring and eliciting probability distributions☆173Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,297Aug 15, 2026Updated 2 weeks ago
- PyMC educational resources☆2,104Dec 23, 2024Updated last year
- Hidden Markov models in PyMC3☆97Mar 20, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Simulation based calibration and generation of synthetic data.☆60Updated this week
- ☆155Updated this week
- Python wrapper for nuts-rs☆207Updated this week
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- A backend for storing MCMC draws.☆22Jun 22, 2026Updated 2 months ago
- PyMC project website and blog!☆24Jun 26, 2026Updated 2 months ago
- ArviZ modular plotting☆22Aug 22, 2026Updated last week
- Bayesian Modeling and Probabilistic Programming in Python☆9,728Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,184Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arra…☆1,219Nov 15, 2024Updated last year
- Statistical computation and diagnostics for ArviZ.☆18Aug 21, 2026Updated last week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,117Updated this week
- Time should be taken seer-iously☆318Mar 17, 2023Updated 3 years ago
- Probabilistic Programming and Bayesian Computing with PyMC☆23Jun 27, 2024Updated 2 years ago
- Gaussian Process Model Building Interface☆52Mar 11, 2025Updated last year
- PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.☆637Updated this week
- Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and Sci…☆52Updated this week
- Bayesian Analysis with Python (Second Edition)☆682Aug 29, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bayesian experiments for football insights☆16Updated this week
- PyMC Extras extracted from the "exoplanet" library☆19Aug 17, 2026Updated last week
- Step size adaptation for the No-U-Turn Sampler☆29Nov 25, 2025Updated 9 months ago
- Formulas for mixed-effects models in Python☆67Aug 14, 2026Updated 2 weeks ago
- Solve ODEs fast, with support for PyMC☆121May 13, 2024Updated 2 years ago
- ☆579May 14, 2024Updated 2 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,250Updated this week
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆44Apr 12, 2022Updated 4 years ago
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Jul 30, 2026Updated last month
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Oct 23, 2023Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆85Updated this week
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆212Jun 25, 2024Updated 2 years ago
- Presented at Scipy Conference 2019☆129Mar 22, 2020Updated 6 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆708Oct 4, 2021Updated 4 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,750Updated this week
- Mastering Gaussian Processes with PyMC☆17Aug 18, 2025Updated last year