scikit-learn

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

A fast, robust Python library to check for offensive language in strings.

A scikit-learn compatible library for graph kernels

Convert scikit-learn models and pipelines to ONNX

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.

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

Python package for conformal prediction

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

A unified interface for optimization algorithms and experiments

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

skops is a Python library helping you share your scikit-learn based models and put them in production