bayesian bootstrapping in python
☆123Mar 12, 2022Updated 4 years ago
Alternatives and similar repositories for bayesian_bootstrap
Users that are interested in bayesian_bootstrap are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆97Nov 13, 2017Updated 8 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,303Updated this week
- pymc-learn: Practical probabilistic machine learning in Python☆232Jan 24, 2021Updated 5 years ago
- Library for bootstrapping statistics☆22Nov 25, 2017Updated 8 years ago
- Notes on Lambda Architecture☆11Feb 9, 2018Updated 8 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.
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆876Jun 15, 2020Updated 6 years ago
- Run and time jupyter notebooks☆12Aug 14, 2023Updated 3 years ago
- A scikit-learn wrapper for HpBandSter hyper parameter search.☆22Oct 15, 2022Updated 3 years ago
- NBA stats and analysis☆11Feb 26, 2023Updated 3 years ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆25Oct 30, 2021Updated 4 years ago
- A collection of python notebooks exploring popular methods for rating sports teams (and other things)☆11Sep 7, 2017Updated 9 years ago
- ☆160Aug 30, 2022Updated 4 years ago
- A simple multicohort LTV calculator for subscriptions☆11Mar 7, 2023Updated 3 years ago
- Convenient hyperparameter optimization☆14Apr 30, 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.
- Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.☆12Apr 19, 2017Updated 9 years ago
- Python/numpy bootstrap confidence interval estimation.☆178Aug 7, 2025Updated last year
- Fork of cma-es library by Nikolaus Hansen☆12Jul 12, 2017Updated 9 years ago
- ☆15Jun 4, 2014Updated 12 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Feb 21, 2019Updated 7 years ago
- ☆88Feb 9, 2021Updated 5 years ago
- Bayesian Inference and parameter estimation in quant finance.☆46Feb 18, 2019Updated 7 years ago
- Bayesian Data Analysis demos for Python☆1,045Sep 19, 2025Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆328Oct 2, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆1,021Apr 21, 2026Updated 5 months ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Jun 26, 2018Updated 8 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Jun 14, 2016Updated 10 years ago
- ☆15Oct 27, 2022Updated 3 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Jul 24, 2024Updated 2 years ago
- A package code for fitting power law distributions using Bayesian or Maximum Likelihood approaches.☆12Aug 1, 2019Updated 7 years ago
- A garden for scikit-learn compatible trees☆288Jun 20, 2024Updated 2 years ago
- Repo for PyData 2018 tuorial☆12Oct 18, 2018Updated 7 years ago
- Presented at Scipy Conference 2019☆129Mar 22, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,547Mar 6, 2025Updated last year
- Black Box Optimization Methods☆14Jun 8, 2020Updated 6 years ago
- blog☆20Updated this week
- Some scikit-learn-esque wrappers for statsmodels GLM☆23Jul 26, 2013Updated 13 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Jul 16, 2021Updated 5 years ago
- Using probabilistic programming to infer player ratings from matchup data.☆16Nov 16, 2020Updated 5 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Sep 22, 2021Updated 5 years ago