Alternatives and similar repositories for StatisticalModeling

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

• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 5 years ago
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆39Updated 9 months ago
• MLDreamer / Linkedin-posts
  ☆25Updated 3 weeks ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆46Updated this week
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• treszkai / best
  Bayesian estimation supersedes the t-test
  ☆16Updated last year
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆36Updated 2 weeks ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆97Updated last year
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• canyon289 / causal_inf_bookclub
  Supporting material for the book club
  ☆15Updated 3 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated last year
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆33Updated 2 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 7 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆62Updated 2 weeks ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆54Updated last year
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆48Updated 5 months ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆62Updated 6 months ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 11 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year