Beast code in Giters

Hang Dong's starred repositories

iBKH

iBKH: The integrative Biomedical Knowledge Hub

Language:PythonMIT7100

CheXbert

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Language:PythonNOASSERTION9600

radloader

Code for loading radiology reports from EdIE-R format

Language:PythonGPL-3.0200

BERT-BiLSTM-CRF-NER-pytorch

Pytorch BERT-BiLSTM-CRF For NER

Language:Python39700

federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

Language:PythonMIT121600

diseaseBERT

Code and dataset of EMNLP 2020 paper "Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition"

Language:Python6600

MedMentions

A corpus of Biomedical papers annotated with mentions of UMLS entities.

29700

LAAT

A Label Attention Model for ICD Coding from Clinical Text

Language:PythonNOASSERTION5900

Is-BERT-self-attention-a-feature-selection-method

Language:Jupyter Notebook1700

SNGAC

Style Neutralization Generative Adversarial Classifier

Language:Python400

HELIN

Demo Entity Linking API for the HDR Text Analytic Team.

Language:Python700

Medical_NLP

Medical NLP Competition, dataset, large models, paper

205700

SI_Ideation

This repository maintains the code for detection of suicidal ideation (SI) in clinical notes.

Language:Python300

Text-Translation-API-V3-Python

Language:PythonNOASSERTION10800

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

Language:PythonApache-2.0138500

lmtc-eurlex57k

Large-Scale Multi-Label Text Classification on EU Legislation

Language:PythonApache-2.09100

awesome_Chinese_medical_NLP

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Language:PythonApache-2.01879200

notebooks

Notebooks using the Hugging Face libraries 🤗

Language:Jupyter NotebookApache-2.0347400

multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

Language:PythonMIT41000