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- Collective Knowledge (CK) and Common Metadata eXchange (CMX): community-driven projects to learn how to run AI, ML and other emerging workloads in a more efficient and cost-effective way across diverse models, datasets, software and hardware using MLPerf automations, CK playground and open reproducibility and optimization challenges
- MLCFlow: Simplifying MLPerf Automations
- This repository contains automation scripts designed to run MLPerf Inference benchmarks. Originally developed for the Collective Mind (CM) automation framework, these scripts have been adapted to leverage the MLC automation framework, maintained by the MLCommons Benchmark Infrastructure Working Group.
- These are automated test submissions for validating the MLPerf inference workflows
cm4mlops
PublicA collection of portable, reusable and cross-platform CM automations for MLOps and MLPerf to simplify the process of building, benchmarking and optimizing AI systems across diverse models, data sets, software and hardwarechakra
PublicGaNDLF
PublicA generalizable application framework for segmentation, regression, and classification using PyTorchpolicies
Publicpower-dev
Public- Croissant is a high-level format for machine learning datasets that brings together four rich layers.