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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/

autoencoder-relay-awgn-rob

Accompanying codes of paper "Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems" by Yuxin Lu, Peng Cheng, Zhuo Chen, Yonghui Li, Wai Ho Mow, and Branka Vucetic.

autoencoder-relay-icassp

Slides for a paper presented in ICASSP 2020, "A LEARNING APPROACH TO COOPERATIVE COMMUNICATION SYSTEM DESIGN"

channelnet

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

claude

End-to-end learning of optical communication systems

datasciencega1003_ml_nyu

NYU Data Science Course DSGA-1003 Machine Learning Assignments.

deep-llr-quantization

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

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-double-q-learning

📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️

deepjscc-feedback

Joint Source Channel Coding of Images With Feedback

deeplearning_mimo

deeprlvehicularlocalization

Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning

dl_dd_mimo

This project is to use deep neural network for channel estimation in MIMO communication systems

dl_ofdm

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

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dynamicmultichannelrl

Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"

federated-learning

federated-learning-1

tf implementation of federated learning

federated-learning-2

Federated Learning - PyTorch

federated-learning-on-mnist-dataset

Demonstrating Federated Learning by applying it on the MNIST Dataset

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

ibsgd

influence-release

irs-relaying

Simulation code for “ Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communications Letters, To appear.

keras-rl

Deep Reinforcement Learning for Keras.

larq

An Open-Source Library for Training Binarized Neural Networks

ldpc

Simple Matlab function implementing the LDPC soft decoding algorithm, with the log sum product method

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

lifewithcodefinance

code in my normal life

meta-autoencoder

Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"