heyichang

A-community-detect-System-based-on-GraphX

A community detect System based on GraphX

cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

Data_backup

There are some data set which I need to learning skills for processing

deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep_learning.cn.udacity

优达学城深度学习课程项目

dl-record

LaKo

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection [ IJCKG 2022 ]

Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learning_at_ud

study the course at uda

ml-record

record some information in studing machine learning

heyichang/ml-record

record some information in studing machine learning

heyichang/A-community-detect-System-based-on-GraphX

A community detect System based on GraphX

heyichang/cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

heyichang/Data_backup

There are some data set which I need to learning skills for processing

heyichang/deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

heyichang/deep_learning.cn.udacity

优达学城深度学习课程项目

heyichang/dl-record

heyichang/LaKo

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection [ IJCKG 2022 ]

heyichang/Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

heyichang/learning_at_ud

study the course at uda

heyichang/lyricswordcloud

下载指定歌词并绘制其词云

heyichang/ml_recordplus

there will record some projects which use ml or dl knowledge

heyichang/myspider

heyichang/newBackUp

heyichang/python_web_app

heyichang/PythonDataMining

在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

heyichang/QA-Survey

北航大数据高精尖中心研究张日崇团队对问答系统的总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TabletQA）和基于视觉的问答系统（VisualQA），每类系统分别对学术界和工业界进行总结。

heyichang/SparkLearningDemo

There is a project of spark which is used for Ebusiness.

heyichang/SparkStreaminigCode

There are some projects for using sparkStreaming to finish some real time task.

heyichang/text_generation

there is a project,finished by RNN in keras

heyichang/WK-VQA

World Knowledge Based Visual Question Answering