Collective Knowledge (CK) and Collective Minds (CM): community-driven projects to learn how to run AI, ML and other emerging workloads in a more efficient and cost-effective way across diverse models, datasets, software and hardware using MLPerf, CM and CK

AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

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:

These are automated test submissions for validating the MLPerf inference workflows