rsteca / sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
☆772Updated last year
Alternatives and similar repositories for sklearn-deap:
Users that are interested in sklearn-deap are comparing it to the libraries listed below
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- Hyper-parameter optimization for sklearn☆1,623Updated this week
- optimization routines for hyperparameter tuning☆419Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,766Updated last year
- ☆757Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,561Updated 8 months ago
- scikit-learn compatible projects☆410Updated 2 weeks ago
- ML-Ensemble – high performance ensemble learning☆853Updated last year
- Genetic Programming in Python, with a scikit-learn inspired API☆1,672Updated last year
- python partial dependence plot toolbox☆853Updated 7 months ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆458Updated last year
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆466Updated last month
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆416Updated 2 years ago
- A Python library for dynamic classifier and ensemble selection☆486Updated last year
- A garden for scikit-learn compatible trees☆286Updated 10 months ago
- machine learning with logical rules in Python☆634Updated last year
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,396Updated 7 years ago
- Genetic feature selection module for scikit-learn☆324Updated last year
- MLBox is a powerful Automated Machine Learning python library.☆1,513Updated last year
- Open source time series library for Python☆2,123Updated last year
- Confidence intervals for scikit-learn forest algorithms☆287Updated this week
- Spearmint Bayesian optimization codebase☆1,558Updated 5 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆706Updated 4 years ago
- Sequence learning toolkit for Python☆694Updated 2 years ago
- Tools for exploratory data analysis in Python☆646Updated last year
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,179Updated 2 years ago
- Python code for bayesian optimization using Gaussian processes☆313Updated 8 years ago
- Gaussian Process Optimization using GPy☆942Updated 2 years ago