lintongtong123's repositories

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autoencoder-for-the-Physical-Layer

Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"

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Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

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deepcom

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

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DeepQuaternionNetworks

Paper and code for the paper Deep Quaternion Networks

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DL-tenserflow

Tensorflow realizes deeplearning

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dl_ofdm

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

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End2End_GAN

Conditional GAN based End-to-End Communication System

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ESN_MIMO_v1

Ref: S. Mosleh, L. Liu, C. Sahin, Y. R. Zheng and Y. Yi, "Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM," in IEEE Transactions on Neural Networks and Learning Systems.

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generative_adversarial_networks_101

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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Iterative-BP-CNN

The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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KerasGAN

A couple of simple GANs in Keras

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learning-mmse-est

Julia code for the paper "Learning the MMSE Channel Estimator"

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Master-Thesis

Source Code to my master's thesis with the topic "End-to-end optimisation of MIMO systems using deep learning autoencoders"

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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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opticalfibreml

Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" published at NIPS 2018

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polar-coded-SCMA

Matlab simulation code for uplink polar coded SCMA system. "Z. Pan, E. Li, L. Wen, J. Lei, and C. Tang, “Joint iterative detection and decoding receiver for polar coded SCMA system,” in 2018 IEEE International Conference on Communications Workshops (ICC Workshops), May 2018, pp. 1–6."

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Python_CsiNet

Python code for "Deep Learning for Massive MIMO CSI Feedback"

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scma

SCMA BER simulation

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Security-and-Robustness-of-Deep-Learning-in-Wireless-Communication-Systems

A research oriented repository on the Security and Robustness of Deep Learning for Wireless Communication Systems

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Sequential-RNN-Decoder

Sequential RNN Decoder Code for 'Communication Algorithms via Deep Learning' ICLR paper

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tensorflow_multigpu_imagenet

Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support

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Thesis_Code_Automatic-Modulation-Classification

Implementation of various Machine Learning Classifiers for my thesis 'Machine Learning Techniques for Automatic Modulation Classification'

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transfer_learning_tensorflow

A easy transfer learning program using tensorflow and tensornets

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