Ctr Prediction Python Packages

recbole

A unified, comprehensive and efficient recommendation library

nextrec

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

fuxictr

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

torchfm

Factorization Machine models in PyTorch

torch-rechub

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

easy-cs-rec-custommodel

A framework for large scale recommendation algorithms.

reclearn

Recommender Learning with Tensorflow2.x

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.

mlgb

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

pai-easy-rec

A framework for large scale recommendation algorithms.

torchctr

CTR Prediction on PyTorch

prediction-flow

Deep-Learning based CTR models implemented by 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.