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acustic_ofdm

This project uses the speaker and the microphone of the computer to realize a complete acoustic OFDM communication system in the MATLAB environment. The system includes phase estimation, channel equalization, bits encoding and cyclic prefix. The main script transmits an example image and shows the received one. Some plots are automatically generated to evaluate the system performances.

adaptivemodulationml

Adaptive Modulation using k-NN classification for OFDM system

adversarialnetspapers

The classical paper list with code about generative adversarial nets

ample

General Implementation of Approximate Message Passing

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

bayesdnn

Implementing Bayesian Deep Neural Network

bokeh

图形编辑Interactive Data Visualization in the browser, from Python

channel-estimation

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

channelnet

Implementation of the paper "Deep Learning-Based Channel Estimation"

cnnpruning

Pruning of pretrained Resnet18 model using PyTorch pruning library.

convnetdraw

Draw multi-layer neural network in your browser

dafml

Decentralised Asynchronous Federated Machine Learning using Blockchain

deep-architectures-for-modulation-recognition

deep learning implement for modulation classification ,codes for paper <Deep Architectures for Modulation Recognition>

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

dl-channeldecoding

On Deep Learning-based Channel Decoding

dl_ofdm

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

end2end_gan

Conditional GAN based End-to-End Communication System

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

few-shot

Repository for few-shot learning machine learning projects

gan_communication_countermeasure

Using GAN to regeneration signal similar to the original signal ,like some application in Image Generation

gowt

wind turbine

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

laissezfaire

Laissez-Faire : Fully Asymmetric Backscatter Communication, SIGCOMM 2015

lp-robust-cs

makenn1

mini tool for drawing a neural network graph.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models

Models and examples built with TensorFlow

modulation-recognition-for-wireless-signals

Algorithm for classification of Digital Modulation such as FSK, PSK, ASK, QAM ........