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belief-propagation

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

bpn

Belief Propagation Network for Hard Inductive Semi-Supervised Learning (IJCAI 2019)

bpnn

data-driven-haptics

deep-learning-for-ldpc-decoding

We provide a Deep learning method for LDPC decoding

deep_visuo-tactile_learning_icra2019

egnn

factor-graph-neural-network

Factor Graph Neural Network

factor-inference-net

codebase for factor inference network

fs-mac

Flexible System for Medium Access Control

geltip-simulation

gnn-decoder

gnn4cd

Supervised community detection with line graph neural networks

gnn_community

Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li

gr-bokehgui

Web based display for GNU Radio applications

gr-gym

gr-lora_sdr

This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This work has been conducted at the Telecommunication Circuits Laboratory, EPFL.

gr-mac

Easy-to-use MAC-layer implementations for GNU Radio.

hybrid-inference

hypermsg

Basic implementation of Adaptive Neural Message Passing for Inductive Learning on Hypergraphs

hypernetworkdecoder

Hyper Graph Network Decoders for Block Codes

inferencepgmbygnn

A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf

iterative-bp-cnn

The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

lucidgloves

Arduino/ESP32 based DIY VR Haptic gloves. Compatible with SteamVR via OpenGloves.

mneflow

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

modelling_viscoelastic_objects

Data-Driven Haptic Modeling of Normal Interactions on Viscoelastic Deformable Objects Using a Random Forest model and a RBF model. Our approach is to build a Deep Learning model to beat the other the existing models in terms of root mean square error.

multimodal_representation

ndic

Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]

neural-protograph-ldpc-decoding

Learning to decode Protograph LDPC Codes