The LaTeX and Python code for generating the paper, experiments' results and visualizations reported in each paper
Painless Machine Learning for python based on scikit-learn
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn
Amazon SageMaker Delta Sharing Examples
LRBoost: a scikit-learn compatible approach to performing linear residual based stacking/boosting
Repository Status for Scikit-learn
Scikit-learn: machine learning in Python
Scikit-Learn useful pre-defined Pipelines Hub
SparseLasso: Sparse Solutions for the Lasso
Sparkit-learn aims to provide scikit-learn functionality and API on PySpark
A Python module capable of performing multi-label learning tasks
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Automated Machine Learning with scikit-learn
Machine learning template for projects based on sklearn library
Extreme Learning Machine implementation in Python
Relevance Vector Machine implementation using the scikit-learn API
Interpreting scikit-learn's decision tree and random forest predictions.
Sklearn-pandas: Pandas integration with sklearn
A feature engineering wrapper for sklearn
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Python implementations of the Boruta all-relevant feature selection method.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
scikit-learn inspired API for CRFsuite
Genetic feature selection module for scikit-learn
Use evolutionary algorithms instead of gridsearch in scikit-learn