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croissant
PublicCroissant is a high-level format for machine learning datasets that brings together four rich layers.ck
PublicCollective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarksinference
Publicmobile_app_open
Publicstorage
PublicMLPerf® Storage Benchmark Suitetiny
Publicmedperf
Public- 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.
- MLCFlow: Simplifying MLPerf Automations
inference_results_v5.1
PublicThis repository contains the results and code for the MLPerf® Inference v5.1 benchmark.modelplane
Publicmodellogger
Publicalgorithmic-efficiency
Publiclogging
Publicinference_policies
Publictraining
Publictraining_policies
Publicpolicies
Publicr2-infra
Publicmobile_results_v5.0
Publicmlperf_automotive
Publicdynabench
Publicmlcube
Publiccommon-crawl-dmlr
Publictraining_results_v5.1
Publicmlperf_client
PublicMLPerf Client is a benchmark for Windows, Linux and macOS, focusing on client form factors in ML inference scenarios.mobile_models
Publicinference_results_v5.0
PublicThis repository contains the results and code for the MLPerf™ Inference v5.0 benchmark.