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scikit-learn: machine learning in Python

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

RF and Microwave Engineering Scikit

A high performance implementation of HDBSCAN clustering.

Video Processing in Python

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

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

Python bindings for the C++14 Boost::Histogram library

Package to deal with particles, the PDG particle data table, PDGIDs, etc.

A Flexible Framework for Robot visualization and programming in Python

Manipulate JSON-like data with NumPy-like idioms.

AI framework for Reinforcement Learning, Automated Planning and Scheduling

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

scikit-activeml: A Comprehensive and User-Friendly Active Learning Library for Reserach

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

A next generation Python CMake adaptor and Python API for plugins

Seamlessly integrate LLMs into scikit-learn.

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