github.com
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
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github.com
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
github.com
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.
github.com
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
github.com
Notebooks and code for the book "Introduction to Machine Learning with Python".
github.com
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
machinelearningmastery.com
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
github.com
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
github.com
Open-source, low-code machine learning library in Python that automates machine learning workflows.
coursera.org
Andrew Ng’s Machine Learning at Stanford University provides AI-assisted learning, courses, tutorials, or study support.
haifengl.github.io
Statistical Machine Intelligence and Learning Engine.
Sebastian Thrun’s Introduction To Machine Learning provides AI-assisted learning, courses, tutorials, or study support.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Class on machine w/ PDF, lectures, code.
bishopbook.com
Deep Learning: Foundations and Concepts provides machine-learning models, research, training resources, or evaluation tools.
Creates or edits images with generative models and visual controls.
home.work.caltech.edu
Introduction to machine learning covering basic theory, algorithms and applications.