Stars
Code for "Universal Sample Coding" by Szymon Kobus, Tze-Yang Tung, and Deniz Gündüz, NeurIPS 2024.
Source code for the paper, Over-the-Air Learning-based Geometry Point Cloud Transmission, accepted to IEEE Journal of Selected Areas in Communications (JSAC), 2025
Source code for the paper, A Deep Joint Source-Channel Coding Scheme for Hybrid Mobile Multi-hop Networks, published in IEEE Journal of Selected Areas in Communications (JSAC), 2025
RF-3DGS (Radio-Frequency 3D Gaussian Splatting) is an open-source framework designed for simulating and reconstructing radio radiance field.
A PyTorch-based toolkit for simulating communication systems
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Source code for the paper, Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks, published in IEEE Journal of Selected Areas in Communications (JSAC) 2025.
The codes of D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction.
This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Implementation of Sparse Regression Codes (SPARCs)/Sparse Superposition Codes for communications over the AWGN channel.
Sionna: An Open-Source Library for Research on Communication Systems
Neural min-sum decoding in TensorFlow
A curated list of radar datasets, detection, tracking and fusion
Source Code of POINT CLOUD GEOMETRY COMPRESSION VIA NEURAL GRAPH SAMPLING in ICIP2021
Source code for paper deepjscc-l++, Globecom 2023
A PyTorch library and evaluation platform for end-to-end compression research
Source code for paper ''Wireless Point Cloud Transmission'' in SPAWC 2024.
Official source code of Fast Point Transformer, CVPR 2022
Hands-on Deep Reinforcement Learning, published by Packt
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
For educational materials related to the spinning up workshops.
Source code for "Deep Joint Source-Channel Coding Over Cooperative Relay Networks", 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
An educational resource to help anyone learn deep reinforcement learning.
Source code for paper "Deep Learning Based Near-Orthogonal Superposition Codes for Short Packets", ICC 2022