xiaogaogaoxiao Goto Github PK

dd_med

Repository for ICML2022 paper: "Dual Decomposition of Convex Optimization Layer for Consistent Attention in Medical Images"

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

ddmop

Competition on Online Data-Driven Multi-Objective Optimization

ddpg_biped

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

ddqn_beamselection

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

deblur-pmp

Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

decentralized_qlearning_resource_allocation_in_wns

decentralizedfeedforwardprecoder

MATLAB code for decentralized feedforward precoding in massive MU-MIMO systems

decomposition_nonvexsp

Code for paper "A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse"

deep-architectures-for-modulation-recognition

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

deep-ee-opt

Source code for "Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Eduard A. Jorswieck, and Merouane Debbah, submitted to IEEE Journal on Selected Areas in Communication.

deep-ensembles-uncertainty

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

deep-icip

https://ieeexplore.ieee.org/abstract/document/8451227

deep-interest-network

deep-learning-aided-tabu-search-detection-for-large-mimo-systems

deep-learning-based-csi-estimation-for-5g-communication

A framework to estimate the Channel State Information for a 5G communication

deep-learning-ble-ranging

In this project, we examine the work of Zand et al. for high-accuracy ranging with Bluetooth Low Energy (BLE). Further, we extend their work by examining the error introduced by device mobility in BLE ranging and investigating a multipath and Rayleigh fading channel model. Finall, we introduce a residual learning technique for synthetically improving SNR and subsequent spectral estimation using the MUSIC algorithm

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

deep-learning-driven-non-orthogonal-precoding-for-millimeter-wave-communications

The neural network simulation code is for the paper entitled "Deep Learning Driven Non-Orthogonal Precoding for Millimeter Wave Communications"

deep-learning-for-ldpc-decoding

We provide a Deep learning method for LDPC decoding

deep-learning-for-svd-and-hybrid-beamforming

Deep Learning for SVD and Hybrid Beamforming

deep-learning-for-the-physical-layer

PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

deep-learning-power-allocation-in-massive-mimo

This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

deep-learning-vs.-conventional-classifying-in-predicting-indoor-location-using-wifi-fingerprinting

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-plug-and-play-prior-for-low-rank-tensor-completion

Code for the paper "Deep Plug-and-Play Prior for Low-Rank Tensor Completion"

deep-q-learning-son-perf-improvement

Code for my publication: Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement. Paper accepted to 52nd Asilomar Conference on Signals, Systems, and Computers.

deep-reinforcement-learning-algorithm-collection

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper under review.

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.