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Kubernetes-based system for hyperparameter tuning and neural architecture search.

Creates or edits images with generative models and visual controls.

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

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.

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.

Class on machine w/ PDF, lectures, code.

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.

"AI for Good" Campaigns Are the Wrong Approach - IEEE Spectrum provides machine-learning models, research, training resources, or evaluation tools.

A machine learning / bayesian inference assigning attributes to objects.