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- 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.
mlperf_inference_submissions
Public template- This repository contains the results and code for the MLPerf™ Storage v2.0 benchmark.
- A generalizable application framework for segmentation, regression, and classification using PyTorch
- MLPerf Client is a benchmark for Windows and macOS, focusing on client form factors in ML inference scenarios.
- MLCFlow: Simplifying MLPerf Automations
inference_results_v4.0
Publicinference_results_v3.1
Publicinference_results_v3.0
Publicinference_results_v2.1
Public