Alternatives and similar repositories for SOUL:

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

• sramirez / MOAReduction
  A library for data reduction in MOA (Massive Online Analysis) platform.
  ☆10Updated 7 years ago
• gkapatai / MaatPy
  ☆15Updated 2 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 7 years ago
• miriamspsantos / open-source-imbalance-overlap
  A collection of Open Source Contributions in Learning from Imbalanced and Overlapped Data
  ☆17Updated 3 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆171Updated last year
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆52Updated 11 months ago
• haugjo / float
  A modular Python framework for standardized evaluation and benchmarking of online learning models.
  ☆9Updated 2 years ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆77Updated 10 months ago
• michalkoziarski / RBU
  Radial-Based Undersampling for Imbalanced Data Classification
  ☆12Updated 5 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• pierrenodet / spark-ensemble
  Ensemble Learning for Apache Spark 🌲
  ☆23Updated 7 months ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆64Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• shiralkarprashant / FCBF
  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
  ☆61Updated 3 years ago
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆77Updated 10 months ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆16Updated last year
• vcerqueira / performance_estimation
  Performance estimation for time series forecasting tasks
  ☆38Updated 4 years ago
• scikit-multiflow / streaming-datasets
  A collection of data sets for stream learning.
  ☆32Updated 4 years ago
• barnandas / DataSamplingTools
  Data sampling tools to pre-process class imbalanced datasets
  ☆9Updated 8 years ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago
• CVxTz / DeepTabular
  ☆37Updated 4 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated 3 weeks ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆319Updated last year
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆207Updated 4 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆43Updated 4 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• orchardbirds / bokbokbok
  Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
  ☆36Updated 3 years ago
• alaineiturria / otsad
  Online Time Series Anomaly Detectors
  ☆29Updated 2 years ago