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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.
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ml-cheatsheets
A collection of concise notes for quick reference on different Machine Learning topics
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opu-benchmarks
ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
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reinforcement-learning-opu
Code to perform Model-Free Episodic Control using Aurora OPUs
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newma-md
Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
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double-descent-curve
Double Descent Curve with Optical Random Features
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transfer-learning-opu
Optical Transfer Learning
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gists
Self-contained code snippets using LightOn's technology
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supervised-random-projections
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
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double-trouble-in-double-descent
Double Trouble in the Double Descent Curve with Optical Processing Units.
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newma
Implementation of NEWMA: a new method for scalable model-free online change-point detection
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principled-dfa-training
Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).

