Alternatives and similar repositories for practical-bayes

Users that are interested in practical-bayes are comparing it to the libraries listed below

• aizakharov94 / sibur_challenge_2021
  ☆14Updated 3 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆20Updated last year
• a-milenkin / ML_tricks_and_hacks
  Куски кода и приемы, которые часто переиспользую
  ☆14Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆16Updated 11 months ago
• mainkoon81 / Study-02-AB-Testing
  Hypothesis testing (Parametric/Non-Parametric)
  ☆11Updated 5 years ago
• DanielhCarranza / causai
  Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…
  ☆13Updated 4 years ago
• sb-ai-lab / HypEx
  Fast and customizable framework for automatic and quick Causal Inference in Python
  ☆110Updated this week
• pileyan / Isolation_trees
  ☆17Updated 3 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆30Updated last year
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• sberbank-ai-lab / AutoMLWhitebox
  Tool for whitebox (binning + logreg) model development
  ☆77Updated 3 years ago
• sb-ai-lab / tsururu
  ☆34Updated 3 months ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 years ago
• mark-narusov / alfabank_campus_challenge
  Jupyter тетрадка с решением Kaggle соревнования Alfa Campus
  ☆11Updated last year
• 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
• config-i1 / greybox
  Regression model building and forecasting in R
  ☆31Updated last month
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated 2 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆22Updated 8 months ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆16Updated 7 months ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated last year
• sberbank-ai-lab / Py-Boost
  Python based GBDT implementation
  ☆29Updated 3 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 2 months ago
• robjhyndman / forecasting_workshop
  ☆16Updated last year
• Ivanich-spb / datafusion_2024_churn
  ☆11Updated last year
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 2 years ago
• michaellindon / ssrm
  Sequential Sample Ratio Mismatch(SRM) Test
  ☆12Updated 3 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• dllllb / ptls-experiments
  Experiments on public datasets for pytorch-lifestream library
  ☆20Updated 5 months ago