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fafa-ccnu's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

astyx icon astyx

An API to access the Astyx Hires dataset

autoencoder-based-communication-system icon 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_for_physical_layer icon autoencoder_for_physical_layer

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

channel-equalization-in-fbmc icon channel-equalization-in-fbmc

Allows to reproduce all figures from "FBMC-OQAM in Doubly-Selective Channels: A New Perspective on MMSE Equalization", IEEE SPAWC, 2017.

deeprl icon deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

drl icon drl

Deep Reinforcement Learning

easy-rl icon easy-rl

强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/

introrl icon introrl

Intro to Reinforcement Learning (强化学习纲要)

mec_drl icon mec_drl

Deep reinforcement learning for mobile edge computing

radio-transformer-networks icon radio-transformer-networks

A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".

wireless-ml icon wireless-ml

Research on machine learning in wireless communications.

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