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scikit-learn: machine learning in Python

Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.

A high performance implementation of HDBSCAN clustering.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

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

Datasets used in the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Fast and modular sklearn replacement for generalized linear models

Seamlessly integrate LLMs into scikit-learn.

Quantitative portfolio construction and optimization platform built on skfolio and scikit-learn.