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4 search results found

Reclearn ⭐ 1,406

Recommender Learning with Tensorflow2.x

Easyrec ⭐ 1,374

A framework for large scale recommendation algorithms.

Daisyrec ⭐ 496

This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.

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)

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

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

Recommender Tensorflow ⭐ 33

Recommendation Models in TensorFlow

Recommender System Pytorch ⭐ 20

基于 Pytorch 实现推荐系统相关的算法

Recommend System ⭐ 18

深度学习与推荐系统学习，理论结合代码更香。

A easy library for recommendation system or computational advertising

基于深度学习的商品推荐系统，高性能，可承受高并发，可跨平台

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.

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1-4 of 4 search results

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