Manuel

Collective Knowledge is a cross-platform customizable Python framework to share artifacts as reusable components with JSON API; assemble experimental workflows (such as multi-objective DNN optimization); automate package installation; crowdsource and reproduce experiments; unify predictive analytics; enable interactive articles. Demo:

Reference implementations of inference benchmarks

No project description available.

TinyMLPerf is a benchmark suite for extremely low-power systems such as microcontrollers

MLBox is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.

mlbox examples