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A Flexible and Powerful Parameter Server for large-scale machine learning
TensorFlow Implementation of Attentional Factorization Machine
Convolutional Neural Network for Text Classification in Tensorflow
CNNs for sentence classification
A Tensorflow implementation of Collaborative Metric Learning (CML)
A collection of resources for Recommender Systems (RecSys)
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Distributed FM and LR based on Parameter Server with Ftrl
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
A library for efficient similarity search and clustering of dense vectors.
LR、FM、FFM model solved by ftrl and sgd parallel on MPI
GloVe model for distributed word representation
GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.
Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
Fast Python Collaborative Filtering for Implicit Datasets
Using Keras to implement recommender systems
libffm with ftrl updater
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction Based Machine Learning, Deep Learning and Philosophy of Parameter Server.
A Python implementation of LightFM, a hybrid recommendation algorithm.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Models and examples built with TensorFlow
A recommender systems development and evaluation package by Mendeley
Four word embedding models implemented in Python. Supporting arbitrary context features
Neural models for Collaborative Filtering
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.