A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks

Package with functions to handle network data and run Infomap, inspired by ecological networks

Brain Network Toolbox

Spectral centrality measures in multilayer networks and their application in scientometrics

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits

Deep learning models in Python

This is software implementation of basic switch. Functions - MAC Table, Adjustable TTL timer, Statistics, ACL rules.

MLKN.lab — Multi-Layered Knowledge Network Ideas Laboratory — 5 Ontological Layers, 6 Epistemological Core Domains, 25 Academic Disciplines, 235 Subdisciplines...

A Computer Vision project from TripleTen

Deep learning fundamentals implementation including perceptron, multi layer neural network, gradient descent and regularization from scratch using python.

Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.