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Search results for python ctr prediction

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30 search results found

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Ad Papers ⭐ 3,009

Papers on Computational Advertising

Tensorflow Deepfm ⭐ 1,452

Tensorflow implementation of DeepFM for CTR prediction.

Reclearn ⭐ 1,406

Recommender Learning with Tensorflow2.x

Easyrec ⭐ 1,374

A framework for large scale recommendation algorithms.

Fuxictr ⭐ 715

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Deep Ctr Prediction ⭐ 389

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Product Nets ⭐ 323

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribu

BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

Torch Rechub ⭐ 285

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Pytorch Fm ⭐ 268

Factorization Machine models in PyTorch

CTR模型代码和学习笔记总结

Tensorflow Xnn ⭐ 241

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

Wide_deep ⭐ 215

Wide and Deep Learning for CTR Prediction in tensorflow

Deepfm_with_pytorch ⭐ 213

A PyTorch implementation of DeepFM for CTR prediction problem.

Recstudio ⭐ 153

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Prediction Flow ⭐ 136

Deep-Learning based CTR models implemented by PyTorch

Multitask Recommendation Library ⭐ 132

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

Wide Resdnn ⭐ 62

Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow

Django_web ⭐ 60

✨ DJANGO3.1 网站，集成用户管理，文章博客管理，算法模型可视化系统等功能

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch.

Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"

Ai_explore ⭐ 54

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

Yonghuxingqujianmo ⭐ 16

用户兴趣建模大赛 top10 开源代码

【PyTorch】Easy-to-use package of Cognitive Evolutionary Search (CELS) for Click-Through Rate Prediction

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.

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

CTR Prediction on PyTorch

Torch Recsys Basics ⭐ 5

Implementation of Basic Recommendation System Models with PyTorch

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