Alternatives and similar repositories for hyperparameter-optimization

Users that are interested in hyperparameter-optimization are comparing it to the libraries listed below

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆517Updated 6 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆855Updated last year
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 4 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆488Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆692Updated 9 months ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆238Updated 3 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,623Updated last month
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆677Updated 10 months ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆679Updated 6 years ago
• h2oai / pystacknet
  ☆289Updated 3 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,569Updated 9 months ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆613Updated last month
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆313Updated 8 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,444Updated last month
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆253Updated 5 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆321Updated last year
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆293Updated 5 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆853Updated 8 months ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆653Updated 2 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,243Updated 10 months ago
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,318Updated 6 years ago
• Far0n / kaggletils
  ☆382Updated 8 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• andosa / treeinterpreter
  ☆757Updated last year
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago