lylyhs's repositories
AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm based on Double Array Trie.
spring-cloud-k8s-ci-template
Spring Cloud & GitLab & Docker & Kubernetes CI template projects
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策
aiyprojects-raspbian
AIY 人脸识别 表情提取
awesome-autonomous-vehicle
无人驾驶的资源列表中文版
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
Criteria2Query
[In Development] An application to parse freetext inclusion criteria and produce a structured cohort definition that can be executed against OMOP CDM
Diseease-NER
Ontology boosted Automatic Extraction of Disease names from Twitter
dl4j-facenet
facenet的dl4j实现
ehr_prevalence
EHR Prevalence and Co-occurrence Analysis
healint-app
Healint is a way to assist doctors and patients in disease diagnosis and their treatment. It has a doctor bot which interacts with patients and finally predict the disease. Other than this it also has location based hospital recommendation system. It also facilitates in knowing your BMI and getting a diet chart
HealthySkinAI
This is the very early stages for an app that uses Computer Vision to detect whether the spots on your skin are a form of cancer or not!
java-bert-predict
turn bert pretrain checkpoint into saved model for a feature extracting demo in java
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
nightingale
NHS-Generic Frontend Framework.
oauth2-demo
Re:从零开始的Spring Security Oauth2
openmrs-core
OpenMRS API and web application code
Predicting_Respiratory_Rate
Predicting respiratory rate using PPG and ECG data available on smart devices
QuestionAnsweringSystem
QuestionAnsweringSystem是一个Java实现的人机问答系统,能够自动分析问题并给出候选答案。
symptomchecker
priaid (under the subbrand ApiMedic) offers a medical symptom checker primarily for patients. Based on the entered symptoms it tells you what possible diseases you have. It directs you to more medical information and shows you the right doctor for further clarifications. The symptom checker can be integrated via the flexible API (Application Programming Interface). Find here code examples (SDK).
tensorflow-on-raspberry-pi
TensorFlow for Raspberry Pi