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
  ☆26Updated 5 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆70Updated 3 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 6 years ago
• TNanukem / scikit-net
  A framework for machine learning in complex networks
  ☆21Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated 2 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆125Updated 4 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• mwestt / An-Introduction-to-Bayesian-Inference-in-PyStan
  Code for blog post on Bayesian inference in PyStan
  ☆20Updated 3 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
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆49Updated 3 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆51Updated 2 years ago
• sidravi1 / Blog
  ☆23Updated 4 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆108Updated last year
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆72Updated 5 months ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 9 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆43Updated 8 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆90Updated 5 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 8 months ago
• slundberg / IntegratedGradients
  Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …
  ☆9Updated 7 years ago