Alternatives and similar repositories for prescriptiveMonitoringORF

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

• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆23Updated 2 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 5 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆45Updated 4 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• irhete / predictive-monitoring-benchmark
  Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…
  ☆33Updated 4 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆92Updated 5 months ago
• Zaharah / processtransformer
  Transformer Network for Predictive Business Process Monitoring Tasks
  ☆45Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆108Updated this week
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 9 months ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆295Updated 2 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆304Updated 5 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆187Updated last year
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆128Updated this week
• py-why / causaltune
  AutoML for causal inference.
  ☆230Updated 9 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆68Updated last year
• annguy / time-aware-pbpm
  ☆13Updated 4 years ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆58Updated this week
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆58Updated last year
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆62Updated 4 years ago
• SelfExplainML / GamiNet-PyTorch
  ☆12Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆277Updated this week
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆118Updated this week
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated 3 weeks ago
• mateoespinosa / remix
  Rule Extraction Methods for Interactive eXplainability
  ☆47Updated 3 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 6 months ago
• imoscovitz / wittgenstein
  Ruleset covering algorithms for transparent machine learning
  ☆109Updated 4 months ago