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Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Netw…
由于CSDN博客里面不能直接上代码链接,涉嫌营销推广,因此建一个github仓库用于整理这些代码链接
These are the implementations of two service placement algorithms for fog computing in python 2.7. One is an ILP-based algorithm and the second one is based on the use of complex networks and graph…
Deep reinforcement learning for mobile edge computing
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resour…
A Bifactor Approximation Algorithm for Cloudlet Placement in Edge Computing
Implementation of the Gaussian RBF Kernel in Support Vector Machine model.
PCA+SVM+KFold方法人脸识别(Face Detection using PCA+SVM)
Predict stock with LSTM supporting pytorch, keras and tensorflow
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
A Deep Learning based project for colorizing and restoring old images (and video!)
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Keras复现论文"Colorful Image Colorization"
A simple K-Means Clustering model implemented in python