Name: Kaiyinzhou
Type: User
Company: THUMLP
Bio: Interested in machine learning, deep learning and knowledge graph. Familiar with basic machine learning algorithms, especially variational inference.
Location: Beijin Province, China
Kaiyinzhou's Projects
Supplementary data for Bioinformatics.
日常刷题存放
Relation Classification via Multi-Level Attention CNNs
A curated list of pretrained sentence(and word) embedding models
Implement batch normalization in TensorFlow.
TensorFlow code and pre-trained models for BERT
This model base on bert-as-service. Model structure : bert-embedding bilstm crf.
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
面向中文电子病历的命名实体识别
CogDL: An Extensive Research Toolkit for Graphs
Download related informations from drugbank using requests and selenium.webdriver.
The drugbank database is stored locally with es to provide highly customizable searches!
Code for the paper "Language Models are Unsupervised Multitask Learners"
Tensorflow 实现,将Gumble 函数用在 LSTM的每一个units中
Some codes to practice Parallel Computing
Identification of drug side effects the task of TAC2017
Code for Intelligent optimization method
java 学习笔记
Visual connectivity for webapps
a QA Demo based on KG! use scrapy and jena.
Kaiyinzhou