Pinned Repositories
chinese-wikipedia-corpus-creator
Corpus creator for Chinese Wikipedia
Chinese_models_for_SpaCy
SpaCy 中文模型 | Models for SpaCy that support Chinese
Chinese_NLU_by_using_RASA_NLU
使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
IntelliJ-IDEA-Tutorial
IntelliJ IDEA 简体中文专题教程
JavaGuide
「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。
MITIE_Chinese_Wikipedia_corpus
Pre-trained Wikipedia corpus by MITIE
Mongodb-WeAdmin
操作简单的Mongodb图形化web工具,基于Spring Boot2.0，前端采用layerUI实现。
p3c
Alibaba Java Coding Guidelines pmd implements and IDE plugin
rasa-webchat
A simple webchat widget to connect with a chatbot
nacyzhaomin's Repositories
nacyzhaomin/chinese-wikipedia-corpus-creator
Corpus creator for Chinese Wikipedia
nacyzhaomin/Chinese_models_for_SpaCy
SpaCy 中文模型 | Models for SpaCy that support Chinese
nacyzhaomin/Chinese_NLU_by_using_RASA_NLU
使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)
nacyzhaomin/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
nacyzhaomin/IntelliJ-IDEA-Tutorial
IntelliJ IDEA 简体中文专题教程
nacyzhaomin/JavaGuide
「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。
nacyzhaomin/MITIE_Chinese_Wikipedia_corpus
Pre-trained Wikipedia corpus by MITIE
nacyzhaomin/Mongodb-WeAdmin
操作简单的Mongodb图形化web工具,基于Spring Boot2.0，前端采用layerUI实现。
nacyzhaomin/p3c
Alibaba Java Coding Guidelines pmd implements and IDE plugin
nacyzhaomin/rasa-webchat
A simple webchat widget to connect with a chatbot
nacyzhaomin/rasa_chatbot_cn
基于rasa-nlu和rasa-core 搭建的对话系统demo
nacyzhaomin/rasa_nlu_gq
turn natural language into structured data(支持中文，自定义了N种模型，支持不同的场景和任务)
nacyzhaomin/useTest
learn to use git
nacyzhaomin/WeatherBot
一个基于 Rasa 的中文天气情况问询机器人(chatbot), 带 Web UI 界面
nacyzhaomin/WeatherBot_NLG
nacyzhaomin/word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.