Alternatives and similar repositories for hellinger-distance-criterion

Users that are interested in hellinger-distance-criterion are comparing it to the libraries listed below

• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 8 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• rafaelvalle / MDI
  Missing Data Imputation Python Library
  ☆35Updated 5 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated 3 weeks ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• scikit-learn-contrib / mimic
  mimic calibration
  ☆21Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 9 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• wdm0006 / sklearn-extensions
  A consolidated package of small extensions to scikit-learn
  ☆24Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• udellgroup / controlburn
  ☆18Updated last year
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆61Updated 7 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆48Updated last month
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• slundberg / IntegratedGradients
  Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …
  ☆9Updated 7 years ago
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 5 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago