wuawua

wuawua's Stars

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.5k3.2k

• jennydsuza9/disorder-normalizer

  A system for normalizing disorder mentions in biomedical data.

  Language:Java197

• dmis-lab/bern

  A neural named entity recognition and multi-type normalization tool for biomedical text mining

  Language:Python17344

• griffithlab/civicpy

  A python interface for the CIViC db application

  Language:Python85

• chaseliu/ICD-10-CN

  ICD-10 Chinese Verion

  Language:Python4217

• GanjinZero/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

  2.2k361

• oreilly-japan/deep-learning-from-scratch-3

  『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

  Language:Python740295

• Sunysh/Genome-Deep-Learning

  Language:Python2112

• radivot/SEERaBomb

  This R package contains codes that setup SEER and A-bomb survivor data use with R.

  Language:R142

• bekou/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:Python413112

• oreilly-japan/deep-learning-from-scratch-2

  『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)

  Language:Python1.1k741

• zhmz1326/deep-learning-from-scratch-2-nlp-notebook

  深度学习入门2 自然语言处理(NLP)篇 一书源代码的 jupyter 版（https://github.com/oreilly-japan/deep-learning-from-scratch-2）

  Language:Jupyter Notebook154

• autoliuweijie/K-BERT

  Source code of K-BERT (AAAI2020)

  Language:Python955214

• yasminlucero/Kaggle

  practice fusion contest

  Language:R1116

• sangeetsaurabh/PracticeFusionKaggleData

  Machine Learning model to predict Acid Reflux using publicly available Practice Fusion Health Records at Kaggle.

  Language:Jupyter Notebook2

• jdevince/PF-Diabetes-Classification-Challenge

  Practice Fusion Diabetes Classification Challenge

  Language:Python42

• BarnesLab/Patient2Vec

  Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

  Language:Python10329

• wanwenzeng/ep2vec

  Language:Python225

• zhengqi98/Hefei_ECG_TOP1

  “合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

  Language:Python14539

• jimmyyhwu/deepsea

  DeepSEA in TensorFlow

  Language:Jupyter Notebook2816

• JavisPeng/ecg_pytorch

  ecg classfication

  Language:Python20072

• abachaa/MEDIQA2019

  Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

  Language:Python5119

• castorini/hedwig

  PyTorch deep learning models for document classification

  Language:Python593126

• TranslationalBioinformaticsUnit/singlecelldb

  An actionable database of publicly available single-cell RNA-seq data

  Language:Jupyter Notebook419

• osmr/imgclsmob

  Sandbox for training deep learning networks

  Language:Python3k563

• blmoistawinde/HarvestText

  文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

  Language:Python2.4k328

• FunctionLab/selene

  a framework for training sequence-level deep learning networks

  Language:Jupyter Notebook37389

• NYUMedML/DeepEHR

  Chronic Disease Prediction Using Medical Notes

  Language:Python26470

• gifford-lab/CpGenie

  Language:Python117

• jisraeli/DeepSEA

  Training and testing of DeepSEA models.

  Language:Lua144