senshuran Goto Github PK

channelcapacitysimulation

MIMO信道，AWGN信道，瑞利信道及Aloumati空时码信道容量仿真

cnn_amc

deeplearningimplementations

Implementation of recent Deep Learning papers

dlsf

Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

drl_pensieve

refer the code from hongzimao/pensieve

eua-dataset

Edge server, user dataset for Edge Computing research

interactive-multi-objective-reinforcement-learning

Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. Since there may be trade-offs between the criteria, there does not necessarily exist a globally best policy; instead, the goal is to find Pareto optimal policies that are the best for certain preference functions. The Pareto Q-learning algorithm looks for all Pareto optimal policies at the same time. Introduced a variant of Pareto Q-learning that asks queries to a user, who is assumed to have an underlying preference function and also the scalarized Q-learning algorithm which reduces the dimensionality of multi-objective space by using scalarization function and ask user preferences by taking weights for scalarization. The goal is to find the optimal policy for that user’s preference function as quickly as possible. Used two benchmark problems i.e. Deep Sea Treasure and Resource Collection for experiments.

lstm-music-genre-classification

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

magent

A Platform for Many-agent Reinforcement Learning

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

pa_icc

pa_twc

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

pytorch-doc-zh

Pytorch 中文文档

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-pensieve

a pytorch implementation of pensieve (https://github.com/hongzimao/pensieve)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_primer

An introductory tutorial for PyTorch

reinforcement-learning

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials