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- Croissant is a high-level format for machine learning datasets that brings together four rich layers.
mobile_app_open
Publicmodelbench
Publicmlperf-automations
PublicThis 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.inference
Publicck
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 benchmarks- MLPerf® Storage Benchmark Suite
logging
Publictraining
Publicmobile_results_v5.0
Publicmedperf
Publicmlperf_automotive
Publicdynabench
Publictiny
Publicmlcflow
PublicMLCFlow: Simplifying MLPerf Automationsmlcube
Publiccommon-crawl-dmlr
Publictraining_results_v5.1
Publicr2-infra
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.policies
Publicr2-downloader
PublicCloudflare Access + R2 Object Storage Dataset Download Script- This repository contains the results and code for the MLPerf™ Inference v5.1 benchmark.
chakra
Public