parsing-science / pymc3_models

Related projects ⓘ

Alternatives and complementary repositories for pymc3_models

• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆223Updated 3 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 8 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆237Updated 6 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆329Updated 4 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 6 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 3 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 2 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆124Updated 4 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆175Updated 9 months ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 6 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆284Updated 4 months ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆57Updated 6 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆554Updated last year
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆267Updated 2 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated last year
• AustinRochford / webmc3
  A web interface for exploring PyMC3 traces
  ☆46Updated 6 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆285Updated 5 months ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆106Updated 5 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 5 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆230Updated 3 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆92Updated 6 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆155Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆167Updated 4 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated 8 months ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆236Updated 4 years ago