Alternatives and similar repositories for ex-fuzzy

Users that are interested in ex-fuzzy are comparing it to the libraries listed below

• MaxHalford / sorobn
  🧮 Bayesian networks in Python
  ☆263Updated 2 months ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆602Updated 2 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆284Updated 2 weeks ago
• DynamicsAndNeuralSystems / pyspi
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆250Updated this week
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆86Updated last week
• ubc-systopia / gosdt-guesses
  Generalized Optimal Sparse Decision Trees
  ☆60Updated 8 months ago
• hyperactive-project / Hyperactive
  A unified interface for optimization algorithms and experiments
  ☆544Updated last week
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆337Updated 3 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆370Updated last week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆809Updated 10 months ago
• MathiasKraus / igann
  ☆45Updated last month
• py-why / causaltune
  AutoML for causal inference.
  ☆236Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 4 months ago
• neurodata / hyppo
  Python package for multivariate hypothesis testing
  ☆245Updated 3 months ago
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆380Updated 5 months ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆472Updated 2 weeks ago
• pymc-devs / pymc-bart
  ☆135Updated last week
• TommasoBelluzzo / PyDTMC
  A library for discrete-time Markov chains analysis.
  ☆93Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,098Updated last week
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆113Updated 3 weeks ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆192Updated last year
• davenza / PyBNesian
  PyBNesian is a Python package that implements Bayesian networks.
  ☆48Updated 5 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆144Updated 2 months ago
• pwollstadt / IDTxl
  The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…
  ☆289Updated last month
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆191Updated 4 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆64Updated 3 weeks ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆459Updated this week
• snedelkoski / opentab
  An open, end-to-end implementation of TabPFN-like foundation models, covering synthetic priors/data, training, and evaluation on TabArena…
  ☆26Updated last month
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆124Updated last month