Alternatives and similar repositories for declare4py:

Users that are interested in declare4py are comparing it to the libraries listed below

• ivanDonadello / Declare4Py
  A Python package for declarative Process Mining with Machine Learning applications
  ☆23Updated 2 months ago
• proved-py / proved-core
  PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.
  ☆12Updated 2 years ago
• zahradbozorgi / prescriptiveMonitoringORF
  ☆11Updated 3 years ago
• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆23Updated 2 years ago
• fau-is / grm
  ☆11Updated 3 years ago
• yesanton / Process-Drift-Visualization-With-Declare
  ☆11Updated 4 years 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
• mbafrani / AutomaticProcessSimulation
  Automatic process simulation using Simpy and Pm4py.
  ☆18Updated 3 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆54Updated 4 months ago
• Zaharah / processtransformer
  Transformer Network for Predictive Business Process Monitoring Tasks
  ☆41Updated 7 months ago
• ocpm / ocpa
  ☆34Updated last month
• multi-dimensional-process-mining / eventgraph_tutorial
  A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge gra…
  ☆45Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆100Updated 2 months ago
• irhete / PredictiveMonitoringWithText
  Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
  ☆8Updated 6 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆69Updated 4 years ago
• w4k2 / problexity
  The problexity is an open-source python library containing the implementation of measures describing the complexity of the classification…
  ☆25Updated 3 weeks ago
• SelfExplainML / GamiNet-PyTorch
  ☆12Updated last year
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆56Updated last year
• mirkobunse / critdd
  Critical difference diagrams with Python and Tikz
  ☆33Updated 7 months ago
• rjtmahinay / fuzzy-association-rule-mining
  Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.
  ☆32Updated 6 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated 3 weeks ago
• mateoespinosa / remix
  Rule Extraction Methods for Interactive eXplainability
  ☆43Updated 2 years ago
• dbvis-ukon / ts-mule
  Local Interpretable Model-Agnostic Explanations For Time Series Forecast Models
  ☆20Updated 3 years ago
• tnolle / binet
  This is the complementary code repository for the BINet papers.
  ☆27Updated 4 years ago
• verenich / ProcessSequencePrediction
  ☆107Updated 5 years ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆60Updated 4 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).
  ☆58Updated 2 weeks ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆20Updated last year
• alan-turing-institute / TCPD
  The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
  ☆149Updated 4 months ago
• GiulioRossetti / Python-Project-Template
  Minimal template for a Python library project
  ☆11Updated 2 years ago