Ctr Prediction Python Packages

recbole

A unified, comprehensive and efficient recommendation library

torchfm

Factorization Machine models in PyTorch

nextrec

A unified, efficient, and extensible PyTorch-based recommendation library

fuxictr

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

torch-rechub

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

rec-pangu

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.

reclearn

Recommender Learning with Tensorflow2.x

funrec

基于 PyTorch 的推荐系统与 CTR 预估算法库，按论文年份组织模型实现（CCPM、PNN 等），包含特征输入、交互层与序列注意力组件，大量代码移植自 DeepCTR-Torch

pai-easy-rec

A framework for large scale recommendation algorithms.

easy-cs-rec-custommodel

A framework for large scale recommendation algorithms.

mlgb

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。

prediction-flow

Deep-Learning based CTR models implemented by PyTorch

torchctr

CTR Prediction on PyTorch

recstudio

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

recsysk

Framework-agnostic recsys benchmarking harness — pinned benchmarks, pluggable algorithms, reproducible runs (PyPI: recsysk)