Topic: factorization-machines Goto Github
Some thing interesting about factorization-machines
Some thing interesting about factorization-machines
factorization-machines,Solution to Kaggle's Mercari Price Suggestion Competition
User: aerdem4
factorization-machines,High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
User: aksnzhy
Home Page: https://xlearn-doc.readthedocs.io/en/latest/index.html
factorization-machines,This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison"
User: amazingdd
factorization-machines,#nowplaying-RS: Music Recommendation using Factorization Machines
User: asmitapoddar
factorization-machines,Building a movie recommender system with factorization machines on Amazon SageMaker.
User: chankh
factorization-machines,
User: charleshm
factorization-machines,4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
User: chenglongchen
Home Page: https://www.kaggle.com/c/mercari-price-suggestion-challenge
factorization-machines,Recommendation for Amazon movie review data
User: chezou
factorization-machines,Attention,Factorization Machine, Deep Learning, Recommender System
User: cnfsll
factorization-machines,Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
User: cnkuangshi
factorization-machines,This repo includes some graph-based CTR prediction models and other representative baselines.
Organization: cripac-dig
factorization-machines,DeepTables: Deep-learning Toolkit for Tabular data
Organization: datacanvasio
Home Page: https://deeptables.readthedocs.io
factorization-machines,Fast Factorization Machines
User: dselivanov
factorization-machines,Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
User: dselivanov
Home Page: https://www.slideshare.net/DmitriySelivanov/matrix-factorizations-for-recommender-systems
factorization-machines,A Theano-based Python implementation of Factorization Machines (Rendle 2010).
User: dstein64
Home Page: https://pypi.org/project/pyfms/
factorization-machines,Some popular algorithms(dbscan,knn,fm etc.) on spark
User: endymecy
Home Page: https://github.com/endymecy/AlgorithmsOnSpark
factorization-machines,Factorization Machines with Newton's Method
User: ethanrosenthal
factorization-machines,Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
User: etlundquist
factorization-machines,FMwR: A Library of Factorization Machines in R Based on libfm
User: evanwang1990
factorization-machines,TensorFlow implementation of an arbitrary order Factorization Machine
User: geffy
factorization-machines,TensorFlow Implementation of Attentional Factorization Machine
User: hexiangnan
factorization-machines,TenforFlow Implementation of Neural Factorization Machine
User: hexiangnan
factorization-machines,A parallel implementation of factorization machines based on Spark
User: hibayesian
factorization-machines,KDD17_FMG
Organization: hkust-knowcomp
factorization-machines, fastFM: A Library for Factorization Machines
User: ibayer
Home Page: http://ibayer.github.io/fastFM
factorization-machines,AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
User: ife1er
factorization-machines,Technical writings on Deep Learning
User: jefkine
factorization-machines,Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
User: jilljenn
Home Page: https://arxiv.org/abs/1811.03388
factorization-machines,Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
Organization: kanyun-inc
factorization-machines,Some deep learning based recsys for open learning.
User: leavingseason
factorization-machines,Code of my master thesis "Implicit Feedback Based Context-Aware Recommender For Music Light System"
User: lisiqi
factorization-machines,paper collection for recommendation aspet
User: litowang
factorization-machines,Factorization Machine on spark
User: liveopp
factorization-machines,a simple yet versatile recommendation systems library in python
User: mayukh18
Home Page: https://reco.readthedocs.io/
factorization-machines,nimfm: A library for factorization machines in Nim
User: neonnnnn
factorization-machines,Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Organization: outbrain
factorization-machines,some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
User: qian135
factorization-machines,A library for factorization machines and polynomial networks for classification and regression in Python.
Organization: scikit-learn-contrib
Home Page: http://contrib.scikit-learn.org/polylearn/
factorization-machines,Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
User: shenweichen
Home Page: https://deepctr-doc.readthedocs.io/en/latest/index.html
factorization-machines,A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
User: shenweichen
Home Page: https://deepmatch.readthedocs.io/en/latest/
factorization-machines,DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19
User: sverma88
factorization-machines,Running field-aware factorization machines on the Criteo data
User: takuti
Home Page: https://www.kaggle.com/c/criteo-display-ad-challenge
factorization-machines,:ocean: FluRS: A Python library for streaming recommendation algorithms
User: takuti
Home Page: https://flurs.readthedocs.io/
factorization-machines,Building recommender systems in Julia
User: takuti
Home Page: https://takuti.github.io/Recommendation.jl/latest/
factorization-machines,A Python/C++ implementation of Bayesian Factorization Machines
User: tohtsky
Home Page: https://myfm.readthedocs.io
factorization-machines,A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Organization: ustcml
Home Page: http://recstudio.org.cn
factorization-machines,零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
User: xiaogp
factorization-machines,implementation of "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"
User: xiaotianzhao
factorization-machines,My simplest implementations of common ML algorithms
User: xiecong
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.