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About helping professional programmers confidently apply machine learning algorithms to address complex problems.

Open-source project that supports software development with code generation, analysis, debugging, or documentation.

Metric Learning Algorithms in Python.

A set of functions to support the development of machine learning algorithms.

Framework that implements AutoML algorithms for model architecture search at scale.

Algorithm capable of fully capturing the impact of data drift on performance.

An experimental physical interface for the NSynth machine learning algorithm.

Parris, the automated infrastructure setup tool for machine learning algorithms.

This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.

Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.

Algorithmic Trading with Machine Learning.

Basic sampling algorithms for Julia.

A collection of algorithms for image processing in Python.

Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.

AutoML algorithm tool chain by Huawei Noah's Arb Lab.

VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.

Weka is a collection of machine learning algorithms for data mining tasks.

A Pythonic algorithmic trading library.