LightOn

Repositories

• dfa-scales-to-modern-deep-learning

  Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.
  Python MIT 6 41 0 0 Updated Aug 7, 2020

• ml-cheatsheets

  A collection of concise notes for quick reference on different Machine Learning topics
  MIT 0 1 0 0 Updated Jul 6, 2020

• opu-benchmarks

  ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.

  machine-learning hardware-acceleration photonic-computing
  Python 0 12 0 0 Updated Jun 11, 2020

• reinforcement-learning-opu

  Code to perform Model-Free Episodic Control using Aurora OPUs

  machine-learning reinforcement-learning optical-network photonic-computing
  Python MIT 0 9 0 0 Updated May 19, 2020

• newma-md

  Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)

  molecular-dynamics change-point-detection covid-19 newma photonic-computing
  Jupyter Notebook MIT 0 12 0 0 Updated May 18, 2020

• double-descent-curve

  Double Descent Curve with Optical Random Features

  machine-learning ridge-regression optical-network random-features photonic-computing
  Jupyter Notebook 1 15 0 0 Updated May 4, 2020

• transfer-learning-opu

  Optical Transfer Learning

  machine-learning deep-learning transfer-learning tensorrt photonic-computing
  Jupyter Notebook MIT 0 18 1 0 Updated May 4, 2020

• gists

  Self-contained code snippets using LightOn's technology

  machine-learning hardware-acceleration photonic-computing
  Jupyter Notebook MIT 0 8 0 0 Updated May 4, 2020

• supervised-random-projections

  Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

  randomization pca kernel-methods machine-leanring
  Python 0 14 0 0 Updated May 4, 2020

• double-trouble-in-double-descent

  Double Trouble in the Double Descent Curve with Optical Processing Units.

  machine-learning machinelearning photonic-computing kernel-averaging
  Python MIT 0 11 0 0 Updated May 4, 2020

• newma

  Implementation of NEWMA: a new method for scalable model-free online change-point detection

  python machine-learning timeseries paper high-dimensional-data hardware-acceleration change-point-detection
  Python 2 26 0 0 Updated May 4, 2020

• principled-dfa-training

  Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).

  neural-networks direct-feedback-alignment
  Python 0 12 0 0 Updated Jun 12, 2019