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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.

MachineX CL is a decentralized trading protocol for swapping tokens and accessing on-chain liquidity.

MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

Moral Machine is a miscellaneous web resource for discovery, directories, archives, web culture, or useful tools.

This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.

PCjs Machines is a system utility for Windows, hardware checks, cleanup, process control, or desktop customization.

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.

Sketch Machine is a video tool for editing, effects, stock footage, animation, 3D, or creator workflows.

Twayback Machine is a social media utility for platform customization, archives, embeds, or community tools.

"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.MachineLearning supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

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.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.