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Machine Learning framework for rapid development of Machine Learning and Statistical applications.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Flashcard Machine provides educational videos, lessons, tutorials, or self-learning resources.

Helps find, analyze or synthesize information for research and knowledge discovery.

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.

Humanity's Last Machine is an educational resource for documentaries, courses, books, reference material, or self-learning.

Notebooks and code for the book "Introduction to Machine Learning with Python".

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

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

MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

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

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

Open-source, low-code machine learning library in Python that automates machine learning workflows.

Andrew Ng’s Machine Learning at Stanford University provides AI-assisted learning, courses, tutorials, or study support.

Sebastian Thrun’s Introduction To Machine Learning provides AI-assisted learning, courses, tutorials, or study support.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Class on machine w/ PDF, lectures, code.

Deep Learning: Foundations and Concepts provides machine-learning models, research, training resources, or evaluation tools.

Introduction to machine learning covering basic theory, algorithms and applications.

Alien Dreams: An Emerging Art Scene - ML@B Blog provides machine-learning models, research, training resources, or evaluation tools.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.