Alternatives and similar repositories for hyperparameter-optimization

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

• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆859Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆696Updated last week
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆682Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 6 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,644Updated 5 months ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆380Updated 7 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 5 years ago
• WillKoehrsen / ai-projects
  Artificial Intelligence projects, documentation and code.
  ☆367Updated 7 years ago
• h2oai / pystacknet
  ☆294Updated 3 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,590Updated last month
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆709Updated 4 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,462Updated 3 months ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 3 years ago
• Menelau / DESlib
  A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is host…
  ☆73Updated last year
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,519Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆219Updated 9 years ago
• manifoldai / mf-eng-public
  ☆50Updated 7 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,237Updated last year
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆329Updated last year
• elena-sharova / IsolationForest
  testing scikit-learn Isolation Forest
  ☆77Updated 7 years ago