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1.2

Notes

  • Introduction
  • What is an OPU?
  • Get started with the OPU
  • Deep Dive into the OPU
  • Migration Guide
  • Release notes

Examples

  • Kernel methods and Random features approximation
  • Scikit-learn Pipeline and GridSearchCV with the OPU
  • Saving and loading an OPU for inference
  • Bitplan encoding and decoding
  • Transfer learning on the OPU
  • Dimensionality reduction
  • Change point detection using the OPU online mode
  • Training a binary autoencoder
  • Contributed examples

LightOnML API Reference

  • lightonml.encoding
  • lightonml.projections
  • lightonml.datasets
  • lightonml.utils

LightOnOPU API Reference

  • lightonopu.opu
  • lightonopu.device
  • lightonopu.simulated_device

Advanced

  • Extending LightOnML
LightOnML
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  • LightOnML documentation
  • View page source

LightOnML documentationΒΆ

LightOnML is a Python3 library to perform computations on optical processing units.

Version 1.2

Notes

  • Introduction
  • What is an OPU?
  • Get started with the OPU
  • Deep Dive into the OPU
  • Migration Guide
  • Release notes

Examples

  • Kernel methods and Random features approximation
  • Scikit-learn Pipeline and GridSearchCV with the OPU
  • Saving and loading an OPU for inference
  • Bitplan encoding and decoding
  • Transfer learning on the OPU
  • Dimensionality reduction
  • Change point detection using the OPU online mode
  • Training a binary autoencoder
  • Contributed examples

LightOnML API Reference

  • lightonml.encoding
  • lightonml.projections
  • lightonml.datasets
  • lightonml.utils

LightOnOPU API Reference

  • lightonopu.opu
  • lightonopu.device
  • lightonopu.simulated_device

Advanced

  • Extending LightOnML
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