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- Croissant is a high-level format for machine learning datasets that brings together four rich layers.
dynabench
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.algorithmic-efficiency
Publicmlperf_inference_submissions
Public templateinference_results_visualization_template
Public templatemobile_app_open
Publicmodelbench
Publicstorage_results_v2.0
PublicThis repository contains the results and code for the MLPerf™ Storage v2.0 benchmark.mlperf_automotive_submissions
Public templateautomotive_results_visualization_template
Public templatechakra
PublicGaNDLF
PublicA generalizable application framework for segmentation, regression, and classification using PyTorchmlperf_automotive
Publictraining_policies
Publiclogging
Publictiny
Publicmlperf_client
PublicMLPerf Client is a benchmark for Windows and macOS, focusing on client form factors in ML inference scenarios.mlcflow
PublicMLCFlow: Simplifying MLPerf Automationspolicies
Publicinference_policies
Publictraining
Publicinference_results_v4.1
Publicinference_results_v4.0
Publicinference_results_v3.1
Publicinference_results_v2.1
Public