Jupyter Notebooks derived from Allen Downey's book Think Bayes.
☆397Feb 25, 2016Updated 10 years ago
Alternatives and similar repositories for ThinkBayes
Users that are interested in ThinkBayes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code repository for Think Bayes.☆1,695Mar 12, 2021Updated 5 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆2,039Jan 12, 2026Updated 4 months ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Feb 15, 2016Updated 10 years ago
- Text and supporting code for Think Stats, 2nd Edition☆4,203Jan 23, 2025Updated last year
- Deep neural networks for gravitational-wave posterior estimation☆14Oct 2, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A docker image fully loaded with Geo* & ML related packages☆13Sep 12, 2018Updated 7 years ago
- Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,exte…☆18,974Aug 7, 2024Updated last year
- Exploratory topic modeling with distributional semantics and interactive visualization☆18Jan 11, 2017Updated 9 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,151Jun 25, 2024Updated last year
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,507Apr 29, 2017Updated 9 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Nov 13, 2017Updated 8 years ago
- list of Pycon2016 session related with ML☆22Jun 8, 2016Updated 9 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Oct 21, 2021Updated 4 years ago
- Finding the best parameters for any algorithm☆42Nov 1, 2017Updated 8 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.
- Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis☆28Dec 18, 2022Updated 3 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Jul 16, 2021Updated 4 years ago
- Book and code for Think Complexity, 2nd edition☆794Sep 22, 2024Updated last year
- Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalm…☆3,826Feb 7, 2024Updated 2 years ago
- Neural networks for Excel☆13Jun 22, 2022Updated 3 years ago
- next generation slides for Jupyter Notebooks☆168Apr 17, 2024Updated 2 years ago
- Hyper-fast gravitational wave posterior parameter estimation using variational inference. Code used for "Bayesian parameter estimation" p…☆23Dec 8, 2022Updated 3 years ago
- Text and supporting code for Modeling and Simulation in Python☆931Feb 1, 2026Updated 3 months ago
- ☆12Mar 2, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.☆2,640Apr 9, 2024Updated 2 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆880Jun 15, 2020Updated 5 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆524Sep 22, 2021Updated 4 years ago
- Supporting code for Think Java by Allen Downey and Chris Mayfield.☆389Jul 14, 2021Updated 4 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆562Updated this week
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆76Oct 7, 2025Updated 7 months ago
- Inspired by John Foreman. Created by the crowds.☆54Oct 12, 2023Updated 2 years ago
- ☆315Apr 23, 2021Updated 5 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,817Oct 2, 2020Updated 5 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.
- Differentiable neural computers☆27Nov 16, 2016Updated 9 years ago
- PyMC educational resources☆2,095Dec 23, 2024Updated last year
- The Path of the PyData Ninja☆16Sep 14, 2015Updated 10 years ago
- Dummy variable generation with fit/transform capabilities☆23Aug 7, 2018Updated 7 years ago
- The speaker list for JupyterDays Boston, March 17-18 in Cambridge, MA.☆15Mar 19, 2016Updated 10 years ago
- Package template for a project using Cython☆59Apr 4, 2016Updated 10 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆550Oct 19, 2022Updated 3 years ago