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- Collective Knowledge (CK) and Collective Minds (CM): 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 CK, CM/CMX and MLPerf automations
- A 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 hardware
- These are automated test submissions for validating the MLPerf inference workflows
training_results_v3.1
Publiclogging
Publicmobile_open
Publicailuminate
Publictiny
PublicGaNDLF
PublicA generalizable application framework for segmentation, regression, and classification using PyTorchtraining_results_v4.1
Publicmlperf-automations_archived
Public archivemlperf_client
PublicMLPerf Client is a benchmark for Windows and macOS, focusing on client form factors in ML inference scenarios.- A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:
chakra
Publiccroissant
PublicCroissant is a high-level format for machine learning datasets that brings together four rich layers.