MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
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Nov 26, 2025 - Python
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mlcommons
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This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".
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Sep 11, 2023
As described in "Towards Full On-Tiny-Device Learning: Guided Search for a Randomly Initialized Neural Network"
random-forest resnet gaussian-processes bayesian-optimization extreme-learning-machine on-device-ml tinyml mlcommons
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Jan 15, 2024 - Python
LLM Billing & Benchmarking Standard (LBBS) v0.1 — Draft for public comment.
benchmarking machine-learning ai standard ieee governance open-standard mlcommons llm pricing-transparency
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Nov 9, 2025
💰 Establish a standard for LLM billing and benchmarking to enable fair comparison of models with clear metrics and compliance levels.
benchmarking machine-learning ai standard ieee governance open-standard mlcommons llm pricing-transparency
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Dec 25, 2025
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