corriebar / Bayesian-Workflow-with-PyMC

Related projects ⓘ

Alternatives and complementary repositories for Bayesian-Workflow-with-PyMC

• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆50Updated 2 years ago
• bambinos / educational-resources
  Educational resources
  ☆100Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆124Updated 4 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 3 years ago
• sidravi1 / Blog
  ☆23Updated 4 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 2 years 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
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated last year
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 6 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 6 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆92Updated 6 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 5 months ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆120Updated 5 months ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated 8 months ago
• pollsposition / models
  Forecasting 🇫🇷 elections with Bayesian statistics 🥳
  ☆41Updated 2 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 4 years ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆57Updated 6 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆90Updated 3 months ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago