Repository Index

Metric learning algorithms in Python

• python
• metric-learning
• scikit-learn
• machine-learning

Extra blocks for scikit-learn pipelines.

• scikit-learn
• machine-learning
• common-sense

Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.

• machine-learning
• data-science
• scikit-learn
• sklearn

PySpark + Scikit-learn = Sparkit-learn

• scikit-learn
• apache-spark
• machine-learning
• distributed-computing

A scikit-learn based module for multi-label et. al. classification

• classification
• scikit
• scikit-learn
• multi-label

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

• scikit-learn
• lasagne
• deep-learning
• machine-learning

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

• pipeline
• pipeline-framework
• machine-learning
• deep-learning

scikit-learn inspired API for CRFsuite

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

• python
• scikit-learn
• machine-learning
• artificial-intelligence

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

Genetic feature selection module for scikit-learn

Relevance Vector Machine implementation using the scikit-learn API.

Stacked Generalization (Ensemble Learning)

• stacking
• ensemble-learning
• scikit-learn
• xgboost

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

• feature-engineering
• transformers
• pre-processing
• data-science

scikit-learn addon to operate on set/"group"-based features

scikit-learn for OCaml