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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。
A curated list of awesome Machine Learning frameworks, libraries and software.
Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data
中文医疗NLP领域 数据集,论文 ,知识图谱,语料,工具包
《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。
(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!
数据挖掘18大算法实现以及其他相关经典DM算法
Rasa-Doctor-Friende.A chinese medical chatbot based on Neo4j knowledge graph and Rasa.
NER for Chinese electronic medical records. Use doc2vec, self_attention and multi_attention.
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.
A generic framework consisting of NLP, Machine Learning and Rules for analyzing unstructured clinical data
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
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。
My own leetcode solutions by python
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。
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)
A complete daily plan for studying to become a machine learning engineer.
machine learning and deep learning tutorials, articles and other resources
Python code for common Machine Learning Algorithms
机器学习算法python实现
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.
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.
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。
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
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
just for learning to using github
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
《利用Python进行数据分析·第2版》
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
Apache Spark - A unified analytics engine for large-scale data processing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.