Knowledge-Defined Networking

Training datasets to encourage open research, development and benchmarking of Machine Learning algorithms applied to Computer Networks.

DRL-GNN Public

Python 59 BSD-3-Clause 18 1 0 Updated Oct 20, 2022
Unveiling-the-potential-of-GNN-for-network-modeling-and-optimization-in-SDN Public

30 16 0 0 Updated Oct 17, 2022
net2vec Public
This repository is a collection of machine learning models for computer networks.

Jupyter Notebook 24 BSD-3-Clause 23 0 0 Updated Oct 17, 2022
network-modeling-GNN Public

Python 4 8 0 0 Updated Oct 17, 2022
-knowledge-defined-networking Public

10 Apache-2.0 6 1 0 Updated Oct 17, 2022
a-deep-rl-approach-for-sdn-routing-optimization Public
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Python 185 MIT 85 11 0 Updated Oct 17, 2022
demo-routenet Public
Demo of RouteNet in ACM SIGCOMM'19

Jupyter Notebook 76 BSD-3-Clause 39 1 3 Updated Oct 17, 2022
Understanding-the-Modeling-of-Network-Delays-using-NN Public
Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central technique to many networking functions, for insta…

7 5 2 1 Updated Nov 13, 2019

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