Alternatives and similar repositories for fig4pm:

Users that are interested in fig4pm are comparing it to the libraries listed below

• irhete / predictive-monitoring-benchmark
  Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…
  ☆32Updated 3 years ago
• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆23Updated 2 years ago
• gbrltv / business_process_encoding
  Business Process Encoding
  ☆12Updated 8 months ago
• zahradbozorgi / prescriptiveMonitoringORF
  ☆11Updated 3 years ago
• ishwarvenugopal / GCN-ProcessPrediction
  A Deep Learning model for business process predictions. Preprint on arXiv: https://arxiv.org/abs/2102.07838
  ☆12Updated 4 years ago
• farbodtaymouri / GanPredictiveMonitoring
  ☆20Updated 3 years ago
• StephenPauwels / edbn
  Repository containing all implementations and experiments for the EDBN model.
  ☆18Updated 3 years ago
• nickgentoo / DALSTM_PM
  Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"
  ☆9Updated 7 years ago
• AdaptiveBProcess / GenerativeLSTM
  Learning Accurate Generative Models of Business Processes With LSTM Neural Networks
  ☆29Updated 11 months ago
• mbafrani / AutomaticProcessSimulation
  Automatic process simulation using Simpy and Pm4py.
  ☆18Updated 3 years ago
• verenich / time-prediction-benchmark
  Benchmark evaluation for predictive monitoring of remaining cycle time of business processes
  ☆14Updated 2 years ago
• verenich / ProcessSequencePrediction
  ☆105Updated 5 years ago
• Zaharah / processtransformer
  Transformer Network for Predictive Business Process Monitoring Tasks
  ☆40Updated 5 months ago
• tnolle / binet
  This is the complementary code repository for the BINet papers.
  ☆27Updated 3 years ago
• vinspdb / MiDA
  Multi view deep learning based approach for next activity prediction
  ☆14Updated 2 years ago
• annguy / time-aware-pbpm
  ☆13Updated 3 years ago
• ERamaM / PredictiveMonitoringDatasets
  Datasets for predictive monitoring of business processes.
  ☆10Updated 4 years ago
• BrechtWts / SuffixTransformerNetwork
  ☆11Updated 6 months ago
• raseidi / skpm
  A process mining library built upon scikit-learn!
  ☆21Updated this week
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆40Updated 3 years ago
• fau-is / grm
  ☆11Updated 3 years ago
• yesanton / Process-Drift-Visualization-With-Declare
  ☆11Updated 4 years ago
• TimeEval / GutenTAG
  GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
  ☆82Updated last month
• ocpm / ocpa
  ☆31Updated this week
• yesanton / Process-Sequence-Prediction-with-A-priori-knowledge
  Leveraging A-priori Knowledge in Predictive Business Process Monitoring
  ☆10Updated 6 years ago
• itmo-escience / ProFIT
  Process mining module for Python.
  ☆18Updated 3 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆43Updated 4 years ago
• sherbold / autorank
  ☆76Updated 5 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
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆87Updated 5 years ago