convolutional_code

Soft-decision decoding of convolutional codes using the Viterbi algorithm

coursera-dl

Script for downloading Coursera.org videos and naming them.

cs317

daml

materials from machine learning lectures in python

dartbrains

This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.

data-science--cheat-sheet

Cheat Sheets

deep-jscc-for-images-with-ofdm

Codes for "Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM", accepted by ICC 2021

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-llr-quantization

Source code for the "Deep Log-Likelihood Ratio Compression" paper submitted to EUSIPCO 2019

deepcom

Unofficial Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

digit-recognition

Process MNIST DIGITS

digital-communication-simulations

MATLAB simulations for some basic topics in digital comms.

digital-modulations-using-matlab

Digital Modulations using Matlab

digitalcomm

Teaching material for Digital Communications

digitalcomm-1

Digital Communication Notes

dl-channeldecoding

On Deep Learning-based Channel Decoding

dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

dlacom-notebooks

Supplementary material to the lecture course Deep Learning Applications in Communications at University of Stuttgart

dnn_detection_via_keras

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras. Simpler implementation

dotnets

Create simple drawings of neural networks using graphviz

dvb-s2

The Digital Video Broadcasting-Satellite (DVB-S) standard, released in 1993, specifies the communication for the broadcasting of television to the homes. It is based on quaternary phase shift keying (QPSK) modulation and convolutional forward error correction (FEC).

e2e_ml

An end to end solution for automl.

ee046211-deep-learning

Jupyter Notebook tutorials for EE 046211 Deep Learning course at the Technion

eecs-545

eloquentarduino

IO, scheduling, utils, machine learning... for Arduino

eloquenttinyml

Eloquent interface to Tensorflow Lite for Microcontrollers

end-to-end-learning-of-communications-systems-without-a-channel-model

Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model

enhancing_least_square_channel_estimation_using_deep_learning

This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference.

esp-who

Face detection and recognition framework