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).
  ☆60Updated 2 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• Zaharah / processtransformer
  Transformer Network for Predictive Business Process Monitoring Tasks
  ☆42Updated 9 months ago
• irhete / predictive-monitoring-benchmark
  Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…
  ☆32Updated 4 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last month
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆56Updated last year
• irhete / PredictiveMonitoringWithText
  Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
  ☆8Updated 6 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆179Updated last year
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆241Updated this week
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated 3 weeks ago
• UdayLab / PAMI
  PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms.…
  ☆269Updated 2 weeks ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆293Updated 2 months ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆90Updated this week
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated last year
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆509Updated 3 years ago
• yesanton / Process-Drift-Visualization-With-Declare
  ☆12Updated 4 years ago
• verenich / ProcessSequencePrediction
  ☆105Updated 6 years ago
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆127Updated this week
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 6 months ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆73Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• annguy / time-aware-pbpm
  ☆13Updated 4 years ago
• f-zand / fig4pm
  This repository generates process mining event log features. Most of the features have been extracted from several process mining scienti…
  ☆12Updated 3 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆105Updated 3 weeks ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 3 years ago
• marti5ini / GENCDA
  Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
  ☆16Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year