Alternatives and similar repositories for SOUL:

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

• pierrenodet / spark-ensemble
  Ensemble Learning for Apache Spark 🌲
  ☆23Updated 4 months ago
• sramirez / MOAReduction
  A library for data reduction in MOA (Massive Online Analysis) platform.
  ☆10Updated 7 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆77Updated 8 months ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆127Updated 6 months ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated last month
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆40Updated 4 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 7 years ago
• haugjo / float
  A modular Python framework for standardized evaluation and benchmarking of online learning models.
  ☆9Updated 2 years ago
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆129Updated last year
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆41Updated 4 years ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago
• jrzaurin / tabulardl-benchmark
  Benchmark tabular Deep Learning models against each other and other non-DL techniques
  ☆53Updated 3 years ago
• gkapatai / MaatPy
  ☆15Updated last year
• ryancheunggit / tabular_dae
  ☆49Updated 2 years ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆84Updated 2 weeks ago
• hmgomes / AdaptiveRandomForest
  Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
  ☆41Updated 7 years ago
• rivolli / mfe
  Meta-Feature Extractor
  ☆28Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated 11 months ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆206Updated 2 weeks ago
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆117Updated 6 years ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆29Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 3 months ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆218Updated 3 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• tegjyotsingh / ConceptDriftInduction
  Datasets for concept drift detection
  ☆27Updated 7 years ago
• ctlab / ITMO_FS
  Feature selection library in python
  ☆147Updated last year