陆yxxxx's repositories

wi-fi_books

Wi-Fi 经典协议书籍

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transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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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.

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lifeWithCodeFinance

code in my normal life

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Autoencoder-relay-ICASSP

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

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deepJSCC-feedback

Joint Source Channel Coding of Images With Feedback

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TranslateSome802.11

手动翻译一些802.11论文读一读/Translate some 802 into chinese for reading

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deep-llr-quantization

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

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claude

End-to-end learning of optical communication systems

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Deep-Reinforcement-Learning-with-Double-Q-learning

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

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RNN-Conv-Decoder

Accompanying code of paper "On Recurrent Neural Networks for Sequence-based Processing in Communications" by Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink.

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keras-rl

Deep Reinforcement Learning for Keras.

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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meta-autoencoder

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

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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.

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SRCNN-Tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

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UARA

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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leetcode

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

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federated-learning-2

Federated Learning - PyTorch

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larq

An Open-Source Library for Training Binarized Neural Networks

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Federated-Learning-on-MNIST-Dataset

Demonstrating Federated Learning by applying it on the MNIST Dataset

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DL_DD_MIMO

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

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DeepRLVehicularLocalization

Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning

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federated-learning-1

tf implementation of federated learning

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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"

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