Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.
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Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.
Machine Learning Visualized is a GitHub repository or organization with source code, releases, documentation, or project resources.
wayback-machine-downloader downloads websites, archived pages, or web source files for offline access and review.
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.
) - Nostr data vending machine example by Pablof7z
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.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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.
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.
A machine learning / bayesian inference assigning attributes to objects.