Ruby Neural Networks
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Updated
Jun 4, 2018 - Ruby
Ruby Neural Networks
ITLab Covid visualization dashboard
Build your Neural Network using Back Propagation Algorithm.
Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
Community detection in multilayer degree corrected stochastic block models
OhmNet: Representation learning in multi-layer graphs
scMLnet2.0: Single-cell RNA-seq data-based inference of multilayer inter- and intra-cellular signaling networks
MATLAB implementation of Strength Adjusted Multilayer Spectral Clustering
neural network from scratch
An exploration of recommender systems using Bayesian Bandit, matrix factorization, deep learning, and residual learning.
(OLD) Multi-layer feed-forward ANN with backpropagation using STL on MNIST data set (hand-written digit recognition).
Classification was made in 2D space by applying multilayer and multicategory learning rules.
📓 The problem and promise of scale in multilayer animal social networks
Supplemental material for paper "Current challenges in multilayer network engineering": Experiment scripts
Network of Networks construction via percolation procedure
Visualizing multilayer networks in Gephi
A Graph Optimal Transport Python Package
Code for the paper "Reconstructuring Sparse Multiplex Networks With Application to Covert Networks"
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