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
Multipack distributed sampler for fast padding-free training of LLMs
Nimfa: Nonnegative matrix factorization in Python
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Repo for collect NLP realted datasets!
Python library for knowledge graph embedding and representation learning.
This file used to record my study details!
Relation Classification via Convolutional Deep Neural Network
BiLSTM+CRF
中文常用停用词表(哈工大停用词表、百度停用词表等)
package "tfmetrics" will be used to eval f1_score, recall_score, precision_score in tensorflow>1.12
Trait ontology mapping
TuckER: Tensor Factorization for Knowledge Graph Completion
Knowledge about Variational autoencoder!
爬虫小项目,用来抓取智联招娉网站上的招聘信息,并存入mongodb中。