MLCommons
MLCommons
ck
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other em...
mlcube
MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
GaNDLF
A generalizable application framework for segmentation, regression, and classification using PyTorch
algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
ck-mlops
A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow autom...
inference_policies
Issues related to MLPerf™ Inference policies, including rules and suggested changes
inference_results_v0.5
This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
inference_results_v0.7
This repository contains the results and code for the MLPerf™ Inference v0.7 benchmark.