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Final Data Science Project
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
includes non-overlapping and overlapping methods
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
byte cup 2016
Samples for users of the Yelp Academic Dataset
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Code repository for Deep Learning with Keras published by Packt
flask map project
Foursquare User Dataset - Pulled offline, so letting it live here; currently only data.
A multilingual, cross-domain temporal tagger developed at the Database Systems Research Group at Heidelberg University.
A project using Yelp Academic Data to explore ways to predict which businesses will receive more than 100 user reviews.
POI related project
POI related
Code for "Yelp Recruiting Competition". The goal was to predict the useful votes that a review posted on Yelp.com will receive using a predictive model created using supervised machine learning. This was my first Kaggle contest and I entered late so it was drafted in a rush, only was able to submit one entry ont he last day. It scored an RMSE of 0.53384 which landed me 135th out of 350 teams. I was pretty happy wiht that given that it was a last minute submission and my first foray into machine learning.
Using Keras to implement recommender systems
Repository for Let's Code 1 scripts and images.
LibRec: A Leading Java Library for Recommender Systems, see
for draw.io graphics
Material for the EPFL master course "A Network Tour of Data Science"
Some deep learning based recsys for open learning.
Resources for Python Crash Course, from No Starch Press.
Machine Learning Class Final Project
An interface to Baidu LBS API
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
Best Practices on Recommendation Systems
Recommender System using Matrix Factorization
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.