| liuhuanyong/MedicalNamedEntityRecognition |
219 |
|
0 |
0 |
over 7 years ago |
0 |
|
8 |
|
Python |
| 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. |
| baiyyang/medical-entity-recognition |
161 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| 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 |
| Sophia-11/Awesome-CV-Resources |
128 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
|
| CV领域实验室、数据库、资源 |
| broutonlab/face-id-with-medical-masks |
38 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Face ID recognition with medical masks |
| SuperBruceJia/MedicalNER |
13 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| An implementation of several models (BiLSTM-CRF, BiLSTM-CNN, BiLSTM-BiLSTM) for Medical Named Entity Recognition (NER) |
| taotao033/Chinese_electronic_medical_record_NER |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| Chinese electronic medical record named entity recognition |
| weichennone/FedMAX |
9 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning |
| bohdansok/Face_Recognition |
9 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| This is "ready from box" face recognition app, based on Mediapipe, dlib and face_recognition modules. |
| glemaitre/protoclass |
5 |
|
0 |
0 |
over 9 years ago |
0 |
|
5 |
gpl-2.0 |
OpenEdge ABL |
| This toolbox should be the nexus of Medical Image Analysis, Computer Vision, Machine Learning and Pattern Recognition |
