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pymc3

Here are 90 public repositories matching this topic...

covid19-dashboard

github / covid19-dashboard

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A site that displays up to date COVID-19 stats, powered by fastpages.

python github-pages data-science jupyter analytics nteract data-visualisation matplotlib pymc3 fastai altair papermill github-actions covid-19 covid19 covid-data fastpages

Updated Aug 1, 2020
Jupyter Notebook

JWarmenhoven / DBDA-python

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Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

probabilistic-programming bayesian-inference mcmc pymc3 bayesian-data-analysis hierarchical-models kruschke

Updated Oct 23, 2019
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aloctavodia / BAP

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Bayesian Analysis with Python (Second Edition)

python data-visualization data-analysis pymc3 errata bayesian-analysis arviz

Updated Feb 12, 2020
Jupyter Notebook

pymc-learn / pymc-learn

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pymc-learn: Practical probabilistic machine learning in Python

scikit-learn pymc3 pymc4

Updated Jun 20, 2019
Python

junpenglao / GLMM-in-Python

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Generalized linear mixed-effect model in Python

statistics bayesian-inference linear-mixed-models pymc3 glmm

Updated Aug 17, 2018
Jupyter Notebook

jonsedar / pymc3_vs_pystan

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Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

bayesian-methods bayesian-inference pymc3 hierarchical-models pystan

Updated May 22, 2016
Jupyter Notebook

exoplanet-dev / exoplanet

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Fast & scalable MCMC for all your exoplanet needs!

time-series astronomy exoplanets astrophysics bayesian-inference mcmc exoplanet-transits pymc3 gaussian-processes time-series-analysis exoplanet exoplanet-radial-velocities

Updated Jul 21, 2020
Python

junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3

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PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

data-science statistics bayesian-methods data-analysis bayesian-inference pymc3

Updated Nov 13, 2017
Jupyter Notebook

AlexIoannides / pymc-example-project

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Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

python data-science machine-learning numpy scikit-learn pandas probabilistic-programming bayesian-inference pymc3 bayesian-data-analysis

Updated Feb 21, 2019
Jupyter Notebook

CamDavidsonPilon / lifestyles

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Work-In-Progress: conjoint analysis in Python

statistics survey pymc3 conjoint-analysis

Updated Apr 29, 2018
Python

junpenglao / Planet_Sakaar_Data_Science

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A colourful collection of codes and notebooks, like Planet Sakaar

data-science bayesian-inference pymc3

Updated Jul 13, 2020
Jupyter Notebook

suriyadeepan / pm-pyro

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PyMC3-like Interface for Pyro

probabilistic-programming pymc3 pyro

Updated Dec 1, 2019
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aseyboldt / sunode

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Solve ODEs fast, with support for PyMC3

ordinary-differential-equations sundials pymc3 autodiff

Updated Jul 3, 2020
Jupyter Notebook

Priesemann-Group / covid19_inference

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Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

python pymc3 covid-19

Updated Jul 10, 2020
Jupyter Notebook

AlexIoannides / pymc-stochastic-process

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Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.

python probabilistic-programming bayesian-inference quantitative-finance pymc3 stochastic-processes risk-modelling

Updated Feb 18, 2019
Jupyter Notebook

jgoerner / distribution-cheatsheet

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📈

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👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

python distribution statistics lookup bayes poisson pymc3 characteristics cauchy chi-square geometric normal random-variables distribution-cheatsheet

Updated Jan 23, 2018
Jupyter Notebook

elizavetasemenova / EmbracingUncertainty

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Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

julia-language bayesian-inference stan pymc3 turinglang amld2020

Updated Jan 27, 2020
Jupyter Notebook

JackCaster / Intro_to_PyMC3

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Short introduction to Bayesian statistical modelling with PyMC3

probabilistic-programming bayes pymc3 statistical-models

Updated Jan 27, 2020
Jupyter Notebook

thibalbo / bayesian-abtests-examples

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Bayesian AB Tests Examples

bayesian-inference pymc3 abtest

Updated Jun 29, 2017
Jupyter Notebook

pymc-learn / pymc-learn-book

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Book: Practical Probabilistic Machine Learning in Python

book scikit-learn pymc3 pymc4

Updated Apr 5, 2019
HTML

shkr / bayesian_regression

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Bayesian Regression Models using pymc3

regression bayesian pymc3

Updated Feb 4, 2017
Jupyter Notebook

wangruinju / Double-Fusion

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A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data

theano fmri pymc3 hierarchical-models bayesian-analysis dti correlation-matrix cholesky-decomposition

Updated Aug 23, 2019
Python

Nagasaki45 / dbdapy

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Following "Doing Bayesian Data Analysis", in python

data-science pymc3 bayesian-data-analysis

Updated Jul 25, 2020
Jupyter Notebook

braaannigan / bayesian_intro

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Self-study materials to give you an introduction to Bayesian inference with python

python sklearn bayesian-inference pymc3 pystan holoviews

Updated Mar 21, 2018
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petrushev / statistical-rethinking

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Solutions to some of the problems in "Statistical Rethinking"

python learning statistics ipynb pymc pymc3 bayesian-statistics

Updated Jun 24, 2019
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jgoerner / advanced-statistics

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Source code for the module "Advanced Statistics" 📊

python statistics scipy multivariate pymc3 univariate

Updated Feb 25, 2019
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danhey / maelstrom

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Forward modelling of pulsating stars in binaries

binaries astronomy astrophysics bayesian-inference mcmc pymc3 asteroseismology

Updated Jul 9, 2020
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AlexIoannides / pymc-advi-hmc-demo

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Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

python data-science machine-learning jupyter-notebook probabilistic-programming bayesian-inference example-project pymc3 variational-inference bayesian-data-analysis markov-chain-monte-carlo

Updated Nov 7, 2018
Jupyter Notebook

Haoen-Cui / baker-bayesian-analysis-in-docker

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Baker Project: Dockerfile for Bayesian Analysis

docker pymc rstan stan bugs pymc3 jags openbugs

Updated Dec 31, 2019
Dockerfile

dvav / clonosGP

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A statistical approach for clonal deconvolution in cancer using longitudinal NGS data

bioinformatics cancer-genomics clonality pymc3 gaussian-processes bayesian-statistics dirichlet-process-mixtures

Updated Jul 29, 2020
Jupyter Notebook

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