Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation
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Updated
Feb 27, 2022 - Python
Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation
Set of reinforcement learning environments for optical networks
RWA WDM Simulator: A Python simulator for the routing and wavelength assignment problem in WDM transparent networks with static traffic
[SIGCOMM 2021] ARROW: Restoration-Aware Traffic Engineering
[OFC 2019] Routing without Routing Algorithms: an AI-Based Routing Paradigm for Multi-Domain Optical Networks
Repository containing the implementation of the work published in JOCN. The work studies the impact of using dimensionality reduction methods to the identification of attacks and anomalies in optical networks.
Models the resource allocation with spectrum defragmentation in eleastic optical networks using continuous time Markov chain models.
[OFC 2021] BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration
This repository contains codes in python performed during Optical Communication Lab
Learning the fluctuations of Q-factor from Microsoft's optical backbone
A JAVA-based simulator for evaluating defragmentation in elastic optical network with holding time awareness of traffic flows
Project for a subject on optical networks (SOIB), WEiTI WUT
IP/MPLS over Optical Networks book
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