Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
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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.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
Hong Jing is a data scientist & Alibaba PhD student, write about Machine Learning & Neuroscience.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Visualizer for neural network, deep learning and machine learning models.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
"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.
A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.
Ability AI provides machine-learning models, research, training resources, or evaluation tools.
Accord.NET provides machine-learning models, research, training resources, or evaluation tools.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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.