Alternatives and similar repositories for sklearn-deap

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

• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 7 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆423Updated 2 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 8 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 7 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,599Updated 2 weeks ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,803Updated last year
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆467Updated 2 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,522Updated 2 years ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,653Updated 4 years ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆468Updated 9 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆651Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,267Updated 7 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,773Updated 7 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆495Updated 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
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆701Updated last month
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,138Updated 2 years ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆319Updated 5 years ago
• trevorstephens / gplearn
  Genetic Programming in Python, with a scikit-learn inspired API
  ☆1,763Updated 4 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 7 months ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 8 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆931Updated this week