tonglingyugege

tonglingyugege's Stars

• mingt2019/Deep-Q-learning-for-mobile-edge-computing

  Language:Python9432

• Cyclotron2333/Task-Offloading-and-Resource-Allocation-for-Multi-Server-Mobile-Edge-Computing-Networks

  Language:MATLAB24644

• tjuHaoXiaotian/ICML-2020-MSBCB

  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

  Language:Python279

• Xuanphu108/Deep-Reinforcement-Learning-for-MEC

  Language:Python158

• p0llx/my_MEC_program

  I build this Mobile Edge Computation simulating environment all by myself, and use the costomized ddpg reinforcement learning algorithm to make offloading decision.

  6118

• revenol/DROO

  Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

  Language:Python536190

• lingling0/paper-code

  data routing and caching with DRL in vehicular network

  Language:Python185

• hongyaohongyao/smart_classroom

  课堂专注度及考试作弊系统、课堂动态点名。情绪识别、表情识别、姿态识别和人脸识别结合

  Language:Python35678

• SishangLi/Autosub_Multiple_Methods

  Autosub based on multiple methods which are deep moedls and web API

  Language:Python3615

• Renovamen/Speech-and-Text

  Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字（PocketSphinx、百度 API、科大讯飞 API）和文字转语音（pyttsx3）

  Language:Python30671

• y894577/FocusDiscrimination

  专注度评价系统，负优化系列（逃）

  Language:Python6

• haohsuan2918/DQN_RC_DSA_IOT2019

  Deep Reinforcement Learning (DRL) based Dynamic Spectrum Access (DSA) using Reservoir Computing (RC) (In IoT-J-2019)

  Language:Python369

• PaulTan94/CSS_DRQN

  Cooperative Spectrum Sensing based on Deep Recurrent Q-Network

  Language:Python163

• Determined22/zh-NER-TF

  A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

  Language:Python2.3k937

• liuhuanyong/MedicalNamedEntityRecognition

  Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

  Language:Python424195

• Chan1998/DQN_Fre_agent

  DQN解决频谱分配问题

  Language:Python3

• zjy-ucas/ChineseNER

  A neural network model for Chinese named entity recognition

  Language:Python1.8k569

• qiu997018209/KnowledgeGraph

  知识图谱车音工作项目

  Language:Python250175

• zhangziliang04/kgRobot

  基于知识图谱的智能问答机器人

  Language:Python217145

• shawroad/Python-Library-Learning

  Here we will sort out a variety of interesting Python library learning

  Language:Python6137

• npubird/KnowledgeGraphCourse

  东南大学《知识图谱》研究生课程

  3.9k1.1k

• luopeixiang/named_entity_recognition

  中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

  Language:Python2.1k538

• buppt/ChineseNER

  中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

  Language:Python1.4k394

• husthuke/awesome-knowledge-graph

  整理知识图谱相关学习资料

  4.6k929

• YZHANG1270/Marvel_KnowledgeGraph

  漫威英雄的知识图谱

  Language:Jupyter Notebook11428

• chizhu/KGQA_HLM

  基于知识图谱的《红楼梦》人物关系可视化及问答系统

  Language:HTML1.1k299

• qq547276542/Agriculture_KnowledgeGraph

  农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

  Language:Python4k1.6k