Pythonic binding to the Apple Neural Engine
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)
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.
Automated KRAI X workflows for Google Cloud Platform
A benchmark suite to used to compare the performance of various models that are optimized by Adlik.
Development version of CodeReefied portable CK workflows for image classification and object detection. Stable "live" versions are available at CodeReef portal:
Studienarbeit: Vergleich von TinyML-Performance (TensorFlow Lite) auf ESP32, ESP32-S3 und ARM Cortex-M7 (Teensy 4.0, Arduino Giga) basierend auf dem MLPerf Tiny Benchmark.
MLPerf explorer beta
These are automated test submissions for validating the MLPerf inference workflows
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