Alternatives and similar repositories for hellinger-distance-criterion

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

• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 6 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆49Updated 7 months ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆53Updated 3 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 4 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 6 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• rafaelvalle / MDI
  Missing Data Imputation Python Library
  ☆35Updated 6 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• anonICLR2020 / node
  ☆26Updated 6 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated last year
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆60Updated last week