wangruyu528149,github

administrative-divisions-of-china

中华人民共和国行政区划：省级（省份直辖市自治区）、地级（城市）、县级（区县）、乡级（乡镇街道）、村级（村委会居委会），**省市区镇村二级三级四级五级联动地址数据。

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bidirectional-lstm-crf-for-clinical-concept-extraction

Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dataanalysisinaction

(已完结)《极客时间数据分析实战45讲-详细笔记》包含markdown、图片、思维导图、代码、数据。可直接阅读代码、测试!

doctor-friende

Rasa-Doctor-Friende.A chinese medical chatbot based on Neo4j knowledge graph and Rasa.

emr-ner

NER for Chinese electronic medical records. Use doc2vec, self_attention and multi_attention.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

healthinsight

A generic framework consisting of NLP, Machine Learning and Rules for analyzing unstructured clinical data

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

keyword_extraction

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

leetcode

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine-learning-with-python

Python code for common Machine Learning Algorithms

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.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ner-slot_filling

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

nlp-projects

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

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