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MLCube™ is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
Updated
Jul 8, 2022
Python
Popperized MLPerf benchmark workflows
Updated
Jul 6, 2022
Python
MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices
A benchmark suite to used to compare the performance of various models that are optimized by Adlik.
Updated
May 24, 2022
Python
Tekton Pipelines to run MLPerf benchmarks on OpenShift
Updated
Feb 10, 2022
Shell
CIFAR10 training repo for MLPerf Tiny Benchmark v0.7
Updated
Mar 4, 2022
Python
Development version of CodeReefied portable CK workflows for image classification and object detection. Stable "live" versions are available at CodeReef portal:
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