daitr616,github

opencoarrays

A parallel application binary interface for Fortran 2018 compilers.

optical-network-simulator

Python-oriented optical network simulator

optical-rl-gym

Set of reinforcement learning environments for optical networks

optical_network_modelling

Modelling the input-output (regression) function of an optical cascade

opticalcnn

hybrid optical electronic convolutional neural networks

osa-networks-one-shot-learning

This repository contains the implementation used to generate the results presented in the paper "One-Shot Learning for Modulation Format Identification in Evolving Optical Networks" presented at the Postdeadline Paper Session of the 2019 OSA Advanced Photonics Congress.

paac

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

pann

All Optical Design for Artificial Neural Networks

parallel-deep-learning-in-python

Parallelizing Deep Learning using MPI and GPU.

pipedream

focus

pnn

parallel neural network training

practical_parallelism_in_cpp

C++ files from the "Practical Parallelism in C++" YouTube series by CoffeeBeforeArch

protobuf

Protocol Buffers - Google's data interchange format

research

PhD Research, MSSP, SCSPP, CPOP, multiple packing heuristics, corresponding paper and archived code.

shoreline-task

A shoreline detection and tide prediction task for GBDX.

siph_simulink

Simulink Library for Silicon Photonics Systems Simulation

slimerl

Code repository for the research project "You Play Ball, I Play Ball: Bayesian Multi-Agent Reinforcement Learning for Slime Volleyball", won 1st Prize at 17th STePS.

systemlevelsimulation

This repo contains code snippets for processing results of various simulators like Cacti, NVmain, Noxim, Dsent and NVsim

topology_mapping

This is an assignment in the information systems and software course. As simulating large scale network experiments requires lots of physical resources, partitioning can be used. Topology mapping is a partitioning technique that maps the simulated nodes to different physical nodes. In this assignment, we will use spectral clustering to partition a given network topology on the available physical nodes.

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