Alternatives and similar repositories for mlens

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

• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,647Updated 6 months ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆700Updated last week
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆493Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,595Updated this week
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆620Updated 7 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 7 months ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆761Updated 4 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆649Updated last year
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆360Updated 4 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆773Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 8 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• h2oai / pystacknet
  ☆296Updated 3 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆578Updated 3 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,277Updated 2 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,467Updated last week
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆809Updated 3 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆953Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆227Updated 4 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆595Updated 7 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,522Updated 2 years ago