Popular GitHub Repositories for Networks

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

Tutorials for Machine Learning on Graphs

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques

CNN applied to bearing signals for analysis

Quantization-aware training with spiking neural networks

Tools for interactive visual exploration of semantic embeddings.

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

GAN School at Elo7

DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).

Code for the papers by the MaViDH research group related to the application of computer vision on X-Rays of COVID-19 patients

Variational Inference for Random Graph Models

A PyTorch implementation of a Vanilla Generative Adversarial Network (GAN) trained on the MNIST dataset. This project generates synthetic handwritten digits similar to the real ones from the MNIST dataset using a generator and a discriminator network, trained through adversarial learning.