smile0925's Stars
google-research/bert
TensorFlow code and pre-trained models for BERT
ymcui/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
baiyyang/medical-entity-recognition
包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别
kyzhouhzau/BERT-NER
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
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.
FENGShuanglang/unet
unet for image segmentation
zhaohandd/Unet-liverCT
Unet network for liver CT image segmentation
jyfeather/ad-reading
跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文
daviddwlee84/MachineLearningPractice
Some practices using statistical machine learning technique based on some dataset. (notes and doing from scratch)