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Machine Learning – Software Engineering Daily provides machine-learning models, research, training resources, or evaluation tools.

Teachable Machine provides machine-learning models, research, training resources, or evaluation tools.

Machine Learning made beautifully simple for everyone. Take your business to the next level with the Machine Learning platform.

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

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.

Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

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.

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.

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.