CM interface and automation recipes to access, manage, prepare, run and reproduce research projects from AI, ML and Systems conferences

CM interface and automation recipes to analyze MLPerf Inference, Tiny and Training results. The goal is to make it easier for the community to visualize, compare and reproduce MLPerf results and add derived metrics such as Performance/Watt or Performance/$

Collective Mind repository with unified automations to automatically co-design, optimize and deploy intelligent and Pareto-efficient systems across continuously changing software and hardware stacks.