☆239Jun 27, 2018Updated 8 years ago
Alternatives and similar repositories for advance-bayesian-modelling-with-PyMC3
Users that are interested in advance-bayesian-modelling-with-PyMC3 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling☆58May 16, 2018Updated 8 years ago
- ☆73Aug 2, 2018Updated 8 years ago
- PyMC educational resources☆2,107Dec 23, 2024Updated last year
- Bayesian Analysis with Python (Second Edition)☆680Aug 29, 2023Updated 3 years ago
- Bayesian Inference and parameter estimation in quant finance.☆46Feb 18, 2019Updated 7 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.
- A collection of Bayesian data analysis recipes using PyMC3☆561May 16, 2026Updated 4 months ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67May 15, 2018Updated 8 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆875Jun 15, 2020Updated 6 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Jul 16, 2021Updated 5 years ago
- Bayesian Analysis with Python - Second Edition, published by Packt☆139Jan 18, 2021Updated 5 years ago
- Just a little MCMC☆235Jun 25, 2024Updated 2 years ago
- ☆235Nov 9, 2021Updated 4 years ago
- Numpyro examples in Python notebooks☆11Sep 7, 2020Updated 6 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆685Aug 13, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Repository of my talk for Bayes@Lund 2017☆10Oct 4, 2017Updated 8 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆677Jul 11, 2022Updated 4 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
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆328Oct 2, 2020Updated 5 years ago
- Implementation of Hidden Markov Models in pymc3☆62Mar 9, 2017Updated 9 years ago
- Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019☆2,021May 24, 2020Updated 6 years ago
- Exploratory analysis of Bayesian models with Python☆1,853Sep 9, 2026Updated 2 weeks ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Feb 21, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- In which I play with the ideas surrounding causality☆54Jul 23, 2022Updated 4 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127May 22, 2016Updated 10 years ago
- Introductory overview of Bayesian inference☆43Apr 16, 2019Updated 7 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆278Jan 19, 2022Updated 4 years ago
- Time should be taken seer-iously☆318Mar 17, 2023Updated 3 years ago
- convenience and plotting function working with rstan mixed effects objects☆16May 13, 2015Updated 11 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆167Sep 12, 2021Updated 5 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆163Feb 25, 2020Updated 6 years ago
- ☆22Jun 30, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆13Feb 1, 2024Updated 2 years ago
- A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.☆29Feb 1, 2018Updated 8 years ago
- ☆12Sep 15, 2026Updated last week
- Repo for PyData 2018 tuorial☆12Oct 18, 2018Updated 7 years ago
- Simulation based calibration and generation of synthetic data.☆62Aug 25, 2026Updated 3 weeks ago
- Exploring and eliciting probability distributions☆174Sep 7, 2026Updated 2 weeks ago
- ☆581May 14, 2024Updated 2 years ago