Alternatives and similar repositories for bayes_pydata_london_2024

Users that are interested in bayes_pydata_london_2024 are comparing it to the libraries listed below

• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆45Updated this week
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆69Updated 3 years ago
• AlexAndorra / advanced-gp-pydata
  Mastering Gaussian Processes with PyMC
  ☆15Updated 4 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• pymc-devs / pymc-bart
  ☆134Updated 2 weeks ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆127Updated 2 weeks ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆104Updated 2 years ago
• PhilClarkPhD / mmm
  ☆16Updated last year
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆230Updated 4 months ago
• tjefferies / pymetalog
  Public repo for the pymetalog project
  ☆40Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆14Updated 4 months ago
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆73Updated 2 years ago
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆187Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆56Updated 7 months ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆32Updated 3 years ago
• ostojanovic / causalML
  ☆34Updated last year
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 5 months ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated last year
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆25Updated last year
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated last week
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆361Updated last week
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆53Updated this week