Alternatives and similar repositories for scikit-psl

Users that are interested in scikit-psl are comparing it to the libraries listed below

• kiudee / pareto-embeddings
  Advanced choice modeling with multidimensional utility representations.
  ☆12Updated last year
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆23Updated 9 months ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 6 months ago
• tornede / py_experimenter
  The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …
  ☆38Updated last week
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆272Updated last week
• rdnfn / feedback-forensics
  Feedback Forensics: An open-source toolkit to measure AI personality
  ☆21Updated 2 weeks ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆97Updated last week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆112Updated this week
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆105Updated 3 weeks ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆60Updated 2 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated last month
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated 3 weeks ago
• ubc-systopia / gosdt-guesses
  Generalized Optimal Sparse Decision Trees
  ☆56Updated last month
• microsoft / ticl
  Tabular In-Context Learning
  ☆79Updated 4 months ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆580Updated this week
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last year
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆134Updated 3 months ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆159Updated 11 months ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆280Updated 3 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆102Updated last month
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆133Updated last week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated last month
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆38Updated 11 months ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last month
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago