autoint

There are 14 repositories under autoint topic.

  • DeepCTR

    shenweichen/DeepCTR

    Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

    Language:Python7.4k1773672.2k

  • alibaba/EasyRec

    A framework for large scale recommendation algorithms.

    Language:Python1.6k49113293

  • rixwew/pytorch-fm

    Factorization Machine models in PyTorch

    Language:Python9941638221

  • DataCanvasIO/DeepTables

    DeepTables: Deep-learning Toolkit for Tabular data

    Language:Python6482557117

  • jc-LeeHub/Recommend-System-tf2.0

    原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

    Language:Python633712214

  • huangjunheng/recommendation_model

    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

    Language:Python47847109

  • UlionTse/mlgb

    MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

    Language:Python38812020

  • Hirosora/LightCTR

    LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

    Language:Python1026427

  • shawroad/DeepCTR-pytorch

    Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

    Language:Python563119

  • zeroized/DeepRec-torch

    Easy-to-use pytorch-based framework for RecSys models

    Language:Python38208

  • TIXhjq/ML_Function

    一些CTR模型和常见特征工程的方法

    Language:Python24209

  • End-the-cold-night/deeprec

    A easy library for recommendation system or computational advertising

    Language:Python22108

  • ShawnyXiao/ExplicitHighOrderInteraction-Keras

    Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.

    Language:Python11404

  • zxxwin/DeepCTR_tensorflow2

    Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型

    Language:Jupyter Notebook10216