Alternatives and similar repositories for sklearn-deap

Users that are interested in sklearn-deap are comparing it to the libraries listed below

• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,630Updated 2 months ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆467Updated 3 months ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆420Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆857Updated last year
• andosa / treeinterpreter
  ☆760Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,575Updated 10 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 2 months ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆856Updated 9 months ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆461Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,775Updated last year
• 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
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 6 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆639Updated last year
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated 2 months ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,266Updated 7 years ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,651Updated 4 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆487Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆287Updated last year
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 7 years ago
• trevorstephens / gplearn
  Genetic Programming in Python, with a scikit-learn inspired API
  ☆1,695Updated last year
• polyaxon / traceml
  Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
  ☆517Updated last week
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆968Updated last week
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,516Updated last year
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆551Updated 2 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago