Recommender Learning with Tensorflow2.x

Factorization Machine models in PyTorch

NeuPy is a Tensorflow based python library for prototyping and building neural networks

TensorFlow Script

DeepTables: Deep-learning Toolkit for Tabular data

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！

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」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。

CTR模型代码和学习笔记总结

Implements of Awesome RecSystem Models with PyTorch/TF2.0

主流推荐系统Rank算法的实现

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

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

rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。

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

一些CTR模型和常见特征工程的方法