Alternatives and similar repositories for hypothetical:

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

• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• sidravi1 / Blog
  ☆24Updated 4 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated last year
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆91Updated 8 months ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆47Updated 7 years ago
• thuijskens / thuijskens.github.io
  Repository for thuijskens.github.io
  ☆11Updated 2 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• mwestt / An-Introduction-to-Bayesian-Inference-in-PyStan
  Code for blog post on Bayesian inference in PyStan
  ☆20Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last year
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 11 months ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆128Updated 5 years ago
• jphall663 / GWU_rml
  ☆37Updated last week
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆69Updated 4 years ago
• rwilson4 / bootstrap-stat
  Statistical Bootstrap in Python
  ☆10Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• DhruvPatel01 / coursera_pgm_python
  Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.
  ☆8Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 2 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆78Updated last year