62 Open source projects that are alternatives of or similar to Deepctr

基于 Pytorch 实现推荐系统相关的算法

A framework for large scale recommendation algorithms.

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

2018腾讯社交广告33名；

Tensorflow implementation of DeepFM for CTR prediction.

Tensorflow2.x implementations of CTR（LR、FM、FFM)

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.

Building recommender systems in Julia

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Disentagnled Graph Collaborative Filtering, SIGIR2020

Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”

Easy Hyper Parameter Optimization with mlr and mlrMBO.

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

TensorFlow Implementation of Attentional Factorization Machine

esmm model by tensorflow keras

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

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).

A library for factorization machines and polynomial networks for classification and regression in Python.

A simple movie recommendation engine

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

🌊 FluRS: A Python library for streaming recommendation algorithms

#nowplaying-RS: Music Recommendation using Factorization Machines

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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.

An index of recommendation algorithms that are based on Graph Neural Networks.

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

keras implementation about Deep Interest Network

Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.

🔐 Fastest crypto library for Deno written in pure Typescript. AES, Blowfish, CAST5, DES, 3DES, HMAC, HKDF, PBKDF2

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Crash Team Racing (PS1) tools - a C# framework by DCxDemo and a set of tools to parse files found in the original kart racing game by Naughty Dog.

fastFM: A Library for Factorization Machines

Examples of all Machine Learning Algorithm in Apache Spark

My reading list

Recommendation based on sequence

Larafy is a Laravel package for Spotify API. It is more like a wrapper for the Spotify API.

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

A parallel implementation of factorization machines based on Spark

DeepTables: Deep-learning Toolkit for Tabular data

TenforFlow Implementation of Neural Factorization Machine

KDD17_FMG

No description or website provided.

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

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.

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

A tutorial series by Preferred.AI

Best Practices on Recommendation Systems

Attention,Factorization Machine, Deep Learning, Recommender System

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

TensorFlow implementation of an arbitrary order Factorization Machine

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Classic papers and resources on recommendation

No description or website provided.

Factorization Machine models in PyTorch

Some deep learning based recsys for open learning.

Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction

A Python scikit for building and analyzing recommender systems

Field-aware factorization machine (FFM) with FTRL