Pinned Repositories
ai-chatfilter
datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
ddia
《Designing Data-Intensive Application》DDIA中文翻译
Deep-Learning-MOOC
這是我在政治大學開設 Deep Learning MOOC 教學的相關檔案。
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
FashionAI_Tianchi_2018
FashionAI Global Challenge—Attributes Recognition of Apparel—Ranked 21st solution.
flask_react_crud_jwt_backend
Image_Captioning_AI_Challenger
Code for AI Challenger contest. (Generating chinese image captions)
MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
yurenke's Repositories
yurenke/ai-chatfilter
yurenke/datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
yurenke/ddia
《Designing Data-Intensive Application》DDIA中文翻译
yurenke/Deep-Learning-MOOC
這是我在政治大學開設 Deep Learning MOOC 教學的相關檔案。
yurenke/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
yurenke/FashionAI_Tianchi_2018
FashionAI Global Challenge—Attributes Recognition of Apparel—Ranked 21st solution.
yurenke/flask_react_crud_jwt_backend
yurenke/Image_Captioning_AI_Challenger
Code for AI Challenger contest. (Generating chinese image captions)
yurenke/MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
yurenke/show-adapt-and-tell
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
yurenke/spark_tutorial
yurenke/ray_exp
yurenke/react_reduxtoolkit_jwt_crud
yurenke/react_reduxtoolkit_jwt_search
yurenke/rv_video_observer_backend
yurenke/rv_video_observer_clientsite
real time streaming observer create by react
yurenke/rv_video_observer_frontend
yurenke/rv_video_observer_serversite
A project using YOLO and Parseq to catch datetime in RTMP streaming
yurenke/TextRank4ZH
:deciduous_tree:从中文文本中自动提取关键词和摘要
yurenke/youtube-iOS
youtube iOS app template written in swift 3