muahkim Goto Github PK

autoencoderfiber

This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications

ddim

Denoising Diffusion Implicit Models

denoising-diffusion-model

A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Models in PyTorch

denoising-diffusion-pytorch-1

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dm_for_learning_channels

This repository contains the source code used for simulations of a paper I wrote together with my colleagues.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

github-slideshow

A robot powered training repository :robot:

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

learning-e2e-channel-coding-with-diffusion-models

This repository contains the simulations used in the paper whose title is the same as the repository name.

lecture-examples

Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT

mindiffusion_icmlcn

Minimal Diffusion

mmwchanmod

ML-based channel modeling for millimeter wave wireless communications

nways_accelerated_programming

score-based-channels

Source code for paper "Score-Based Generative Models for Robust Channel Estimation", accepted for publication at WCNC 2022.

turboae

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019