Alternatives and similar repositories for pysbrl

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

• Hongyuy / sbrl
  repository for R library "sbrlmod"
  ☆25Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago
• imoscovitz / wittgenstein
  Ruleset covering algorithms for transparent machine learning
  ☆109Updated 3 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆206Updated 5 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆106Updated last year
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆221Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 3 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last month
• sherbold / autorank
  ☆84Updated 2 months ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆64Updated 3 weeks ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• PanpanZheng / SAFE
  ☆34Updated 5 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆35Updated 3 years ago
• jirifilip / pyIDS
  An implementation of IDS (Interpretable Decision Sets) algorithm.
  ☆24Updated 4 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago