Alternatives and similar repositories for metalearners

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

• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆31Updated 7 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated last month
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆31Updated 2 weeks ago
• koaning / narlogs
  Decorators for logging purposes for all your dataframes
  ☆11Updated 4 months ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆38Updated 3 months ago
• ricardoV94 / probability-puzzles
  ☆11Updated 7 months ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆46Updated this week
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆33Updated last week
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆123Updated this week
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆30Updated 2 weeks ago
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆12Updated 2 months ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆61Updated 4 months ago
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆346Updated 3 weeks ago
• vincentarelbundock / pymarginaleffects
  ☆71Updated last month
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆52Updated this week
• pymc-devs / pymc-bart
  ☆118Updated this week
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated 9 months ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 3 weeks ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆102Updated last month
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated last week
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 7 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆26Updated last week
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆39Updated this week
• arviz-devs / arviz-plots
  ArviZ modular plotting
  ☆18Updated last week
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆30Updated last month
• causy-dev / causy
  Causal discovery made easy.
  ☆51Updated 2 months ago
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆63Updated 7 months ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 7 months ago