Alternatives and similar repositories for fancyimpute

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

• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆856Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,571Updated 9 months ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆854Updated 8 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,629Updated last month
• dswah / pyGAM
  [HELP REQUESTED] Generalized Additive Models in Python
  ☆897Updated 11 months ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆576Updated 2 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,541Updated 10 months ago
• andosa / treeinterpreter
  ☆760Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆637Updated last year
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,447Updated 2 months ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆776Updated 5 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆615Updated 2 months ago
• akelleh / causality
  Tools for causal analysis
  ☆1,076Updated 2 months ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆461Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆488Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 2 months ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆379Updated 10 months ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆518Updated 3 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆485Updated 8 months ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆774Updated 4 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago