Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
| Date | Stars |
|---|---|
| 2026-07-24 | 1458 |
| 2026-07-25 | 1458 |
| 2026-07-28 | 1458 |
| 2026-07-30 | 1458 |
| 2026-08-06 | 1458 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center"> <img src="https://cdn.jsdelivr.net/gh/reczoo/FuxiCTR@main/docs/img/logo.png" alt="Logo" width="260"/> </div> <div align="center"> <a href="https://pypi.org/project/fuxictr"><img src="https://img.shields.io/badge/python-3.9+-blue" style="max-width: 100%;" alt="Python version"></a> <a href="https://pypi.org/project/fuxictr"><img src="https://img.shields.io/badge/pytorch-1.10+-blue" style="max-width: 100%;" alt="Pytorch version"></a> <a href="https://pypi.org/project/fuxictr"><img src="https://img.shields.io/badge/tensorflow-2.1+-blue" style="max-width: 100%;" alt="Pytorch version"></a> <a href="https://pypi.org/project/fuxictr"><img src="https://img.shields.io/pypi/v/fuxictr.svg" style="max-width: 100%;" alt="Pypi version"></a> <a href="https://pepy.tech/project/fuxictr"><img src="https://static.pepy.tech/badge/fuxictr" style="max-width: 100%;" alt="Downloads"></a> <a href="https://github.com/reczoo/FuxiCTR/blob/main/LICENSE"><img src="https://img.shields.io/github/license/reczoo/fuxictr.svg" style="max-width: 100%;" alt="License"></a> </div> <hr/> <div align="center"> <a href="https://github.com/reczoo/FuxiCTR/stargazers"><img src="http://bytecrank.com/nastyox/reporoster/php/stargazersSVG.php?user=reczoo&repo=FuxiCTR" width="600"/><a/> </div> Click-through rate (CTR) prediction is a critical task for various industrial applications such as online advertising, recommender systems, and sponsored search. FuxiCTR provides an open-source library for CTR prediction, with key features in configurability, tunability, and reproducibility. We hope this project could promote reproducible research and benefit both researchers and practitioners in this field. ## Key Features + **Configurable**: Both data preprocessing and models are modularized and configurable. + **Tunable**: Models can be automatically tuned through easy configurations. + **Reproducible**: All the benchmarks can be easily reproduced. + **Extensible**: It can be easily extended to any new models, supporting both Pytorch and Tensorflow frameworks. ## Model Zoo | No | Publication | Model | Paper | Benchmark | Version | |:---:|:-----------------:|:----------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |:---------------------------------------------------------------------------------------------------------------:|:-------------:| |<tr><th colspan=6 align="center">:open_file_folder: **Feature Interaction Models**</th></tr>| | 1 | WWW'07 | [LR](./model_zoo/LR) | [Predicting Clicks: Estimating the Click-Through Rate for New Ads](https://dl.acm.org/citation.cfm?id=1242643) :triangular_flag_on_post:**Microsoft** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/LR) | `torch` | | 2 | ICDM'10 | [FM](./model_zoo/FM) | [Factorization Machines](https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf) | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/FM) | `torch` | | 3 | CIKM'13 | [DSSM](./model_zoo/DSSM) | [Learning Deep Structured Semantic Models for Web Search using Clickthrough Data ](https://posenhuang.github.io/papers/cikm2013_DSSM_fullversion.pdf) :tri
Excerpt of 30,276 characters
Read on GitHub
98
26
4
3
2
2
1
1
1
1
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a292d26afa47d550, topic:pytorch