zhuwenxing's repositories
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Power-Allocation
Joint Power Control and Link Scheduling of a Wireless Network
awesome-deep-learning-music
List of articles related to deep learning applied to music
DeepTextures
Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
minst-dataset
Music INSTrument dataset
neural-style
Torch implementation of neural style algorithm
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
DRL_based_SelfDrivingCarControl
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
DualGAN
DualGAN-tensorflow: tensorflow implementation of DualGAN
g-carlo-Code_for_LOS_NLOS_effect_on_network_densification
This repository contains the code of the simulator used in the paper "Effect of LOS/NLOS Propagation on 5G Ultra-Dense Networks", submitted to "COMPUTER NETWORKS, Elsevier" and currently under review.
ID-CGAN
Image De-raining Using a Conditional Generative Adversarial Network
neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
neural-style-painting
Implementing of the "A Neural Algorithm of Artistic Style"
neuralart_tensorflow
Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow
np-hard-deep-reinforcement-learning
pytorch neural combinatorial optimization
Optimized_Leach
https://www.researchgate.net/project/Development-of-High-Performance-Wireless-Sensor-Network-based-on-Stochastic-Geometry-and-Graphical-Optimization-techniques-for-hybrid-Event-Monitoring-within-Deep-Belief-Network
radio-transformer-networks
A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".
ResourceAllocationV2X
This project contains MATLAB codes for the paper: L. Liang, G. Y. Li, and W. Xu "Resource allocation for D2D-enabled vehicular communications," IEEE Transactions on Communications, vol. 65, no. 7, pp. 3186-3197, Jul. 2017.
shadowsocks-qt5
A cross-platform shadowsocks GUI client
Stanford-AdvMATLAB-Advanced-MATLAB-for-Scientific-Computing
Course materials for the AdvMATLAB Advanced MATLAB for Scientific Computing MOOC on Stanford Online
Stochastic-Geometry
Lecture notes - Stochastic Geometry for Wireless Networks
text-to-image
Text to image synthesis using thought vectors