Pinned Repositories
recommendations
The recommendations resource is a representation a product recommendation based on another product. In essence it is just a relationship between two products that "go together" (e.g., radio and batteries, printers and ink, shirts and pants, etc.). It could also recommend based on what other customers have purchased like "customers who bought item A usually buy item B". Recommendations should have a recommendation type like cross-sell, up- sell, accessory, etc. This way a product page could request all of the up-sells for a product. (Hint: an up-sell is a more full featured and expensive product that you recommend instead of the one they initially want to buy, cross-sells are other items just like this one with similar features and price.)
SSGRL
lab-bluemix-cf
This repo demonstrates how deploy a simple Python Flask RESTful service using Bluemix Cloud Foundry
LogoRecognition
Preliminary investigation and experiments for LogoReader, more details in (https://github.com/LogoRecognition)
RotationNet
Re-implementation of Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction based on Tensorflow
Service-Computing
develop Command Line tools for Linux
SSGRL
Implementation for Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition based on PyTorch
YueLiFront
Front-end for Yueli, a tourism mobile app, including user management, scenic spot, travel record, comments, message and feelings
Dashboard
OrderEase Development Progress, Meeting Records, etc.
YueLiFront
旅游类APP 悦历 前端
Mu-xsan's Repositories
Mu-xsan/SSGRL
Implementation for Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition based on PyTorch
Mu-xsan/RotationNet
Re-implementation of Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction based on Tensorflow
Mu-xsan/lab-bluemix-cf
This repo demonstrates how deploy a simple Python Flask RESTful service using Bluemix Cloud Foundry
Mu-xsan/LogoRecognition
Preliminary investigation and experiments for LogoReader, more details in (https://github.com/LogoRecognition)
Mu-xsan/Service-Computing
develop Command Line tools for Linux
Mu-xsan/YueLiFront
Front-end for Yueli, a tourism mobile app, including user management, scenic spot, travel record, comments, message and feelings