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mlperf_automotive
Publicmodelbench
Publictiny
Public- A generalizable application framework for segmentation, regression, and classification using PyTorch
- Croissant is a high-level format for machine learning datasets that brings together four rich layers.
- 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.
training_results_v0.5
Public- Collective 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
mobile_app_open
Publicmlcflow
PublicMLCFlow: Simplifying MLPerf Automationsmedperf
Publicmlperf_client
PublicMLPerf Client is a benchmark for Windows and macOS, focusing on client form factors in ML inference scenarios.- This repository contains the results and code for the MLPerf™ Inference v5.0 benchmark.
logging
Publicailuminate
Publiccm4mlperf-results
PublicCM interface and automation recipes to analyze MLPerf Inference, Tiny and Training results. The goal is to make it easier for the community to visualize, compare and reproduce MLPerf results and add derived metrics such as Performance/Watt or Performance/$power-dev
Publicpolicies
Publicinference_results_visualization_template
Public templatestorage
PublicMLPerf™ Storage Benchmark Suitesubmissions_algorithms
Publicmobile_results_v5.0
Public