Alternatives and similar repositories for pyARC

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

• alessandroaere / ERMiner
  ERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction
  ☆13Updated 4 years ago
• lukassykora / actionrules
  Action Rules Mining
  ☆16Updated last month
• dkaslovsky / Coupled-Biased-Random-Walks
  Outlier detection for categorical data
  ☆29Updated 2 weeks ago
• wildboar-foundation / wildboar
  wildboar is a Python module for temporal machine learning
  ☆29Updated 2 months ago
• jirifilip / pyIDS
  An implementation of IDS (Interpretable Decision Sets) algorithm.
  ☆24Updated 4 years ago
• zedshape / zminer
  Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals, KDD 2020
  ☆11Updated 3 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 5 years ago
• lnferreira / time_series_clustering_via_community_detection
  Code used in the paper "Time Series Clustering via Community Detection in Networks"
  ☆39Updated 5 years ago
• wli75 / frequent-pattern-mining
  Implementation of frequent pattern mining using Apriori in python. It can also mine closed and max patterns from frequent itemsets.
  ☆12Updated 7 years ago
• NazBen / pyquantregForest
  This package aims to compute conditional quantiles using random regression forests from the scikit-learn library.
  ☆10Updated 8 years ago
• mageky / time-series-spark
  Time series foreasting using Facebook's Prophet and Apache Spark
  ☆14Updated 5 years ago
• erdogant / clusteval
  Clusteval provides methods for unsupervised cluster validation
  ☆60Updated last month
• Csinclair0 / feature_learning
  feature weight learning based off similarity based clustering
  ☆25Updated 5 years ago
• passalis / bof_eeg
  Using Bag-of-Features to classify EEG time-series data
  ☆8Updated 6 years ago
• dssg / Random_Forest_Imputer
  Automatic missing value imputation using random forests
  ☆14Updated 9 years ago
• YousefGh / kmeans-feature-importance
  Adding feature_importances_ property to sklearn.cluster.KMeans class
  ☆64Updated last year
• HMProenca / RuleList
  ☆15Updated 3 years ago
• wywongbd / autocluster
  AutoML for clustering models in sklearn.
  ☆61Updated 2 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago
• paul-english / predictive_imputer
  Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R…
  ☆40Updated 2 years ago
• irhete / PredictiveMonitoringWithText
  Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
  ☆8Updated 6 years ago
• LoLei / spmf-py
  Python SPMF Wrapper 🐍 🎁
  ☆66Updated last year
• jacksonpradolima / gsp-py
  GSP (Generalized Sequence Pattern) algorithm in Python
  ☆37Updated last week
• ruleminer / InterpreTS
  Feature extraction from time series to support the creation of interpretable and explainable predictive models
  ☆13Updated 3 weeks ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆23Updated 4 years ago
• imoscovitz / wittgenstein
  Ruleset covering algorithms for transparent machine learning
  ☆106Updated this week
• predict-idlab / INK
  Instance Neighbouring by using Knowledge
  ☆16Updated 8 months ago
• morganics / bayesianpy
  A Python SDK for building, training and querying Bayesian networks (a.k.a. belief networks), from a machine learning perspective. This wr…
  ☆24Updated 5 years ago
• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆23Updated 2 years ago
• astraszab / LambdaMART
  Implementation of LambdaMART for ranking
  ☆15Updated 5 years ago