LightOnML is a high level machine learning-oriented library that allows to control LightOn’s Optical Processing Units (OPUs). Our current product performs random projections using light.
LightOn’s OPUs are available through LightOn’s Cloud service, or physically with a LightOn Appliance .
The library is developed for Python 3, with interfaces for scikit-learn and pytorch to offer to ML researchers and practitioners a familiar and user-friendly environment.
It is available on Github and PyPI, so it can be installed with
pip install lightonml.
Run large-scale non-linear and linear random projections using LightOn’s Aurora OPUs
Simulate these projections on any machine without access to an OPU
Encode input data in a binary form using various encoders, for OPU input
Below shows a minimal usage example of lightonml’s