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zlhcsm's Projects
arithmeticforjava
为了java面试所整理的算法题目
aurora-imui
General IM UI components. Android/iOS/RectNative ready. 通用 IM 聊天 UI 组件，已经同时支持 Android/iOS/RN。
bert-bilstm-crf-ner
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
bert-bilstm-crf-pytorch
使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型
bert-chinese-text-classification-pytorch
使用Bert，ERNIE，进行中文文本分类
bert-utils
一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算
bert_paper_chinese_translation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译。Chinese Translation!
biobert
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
ccks-2018-ner
CCKS 2018 面向中文电子病历的命名实体识别
cdcs
Chinese Data Competitions' Solutions
chinese-text-classification-pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
chinsesner-pytorch
基于BI-LSTM+CRF的中文命名实体识别 Pytorch
clinical_concept_extraction
Clinical Concept Extraction with Contextual Word Embedding
coding-interviews
剑指Offer
cs-notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
doctor
基于知识图谱的医疗诊断系统（提供医生机器人的参考方案）（获山东省大学生软件设计大赛一等奖、山东省大学生移动互联创新创业大赛二等奖、山东省新动能软件创新创业大赛三等奖）
itemner
商品名称命名实体识别能够识别出一段文本中的名牌、是什么东西、适用年龄、产地、净含量等属性
java-summarize
:books:Java核心知识点整理（包括Java基础、JVM、数据库、计算机网络、算法、操作系统、设计模式、系统设计、框架原理）
javaoffer
java面试中出现的面试题集合，基础集合，面试宝典
javaoffer-coding
《剑指Offer:名企面试官精讲典型编程题》- java实现
jieba
结巴中文分词
lstm-crf-medical
构建医疗实体识别的模型，包含词典和语料标注，基于python构建
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
mediical-information-extraction
The project is a method to resolve the structural problem.
nhl220ai-lab
主要用来记录实验室的一些必会知识点
nlp-beginner
自然语言处理入门指南
nlp-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
nlp_module_demo
NLP中各个技术点的模块化，这样就能在需要的时候快速组装
noname
This is a project for private.
pyqt
PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5
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