deepctr-torch

v0.2.9

Easy-to-use,Modular and Extendible package of deep learning based CTR(Click Through Rate) prediction models with PyTorch For more information about how to use this package see README

Latest version published 2 years ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

54 / 100

security
Security review needed
popularity
Recognized
maintenance
Inactive
community
Active

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Popularity

Recognized

GitHub Stars: 3.02K
Forks: 706
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package deepctr-torch, we found that it has been starred 3,020 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 21, 2022
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 50
Open PR: 4
Last Release: 2 years ago
Last Commit: 2 years ago

Further analysis of the maintenance status of deepctr-torch based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for deepctr-torch is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the deepctr-torch repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*

Age: 5 years
Latest Release: 2 years ago
Dependencies: 4 Direct / 53 Total
Versions: 14
Maintainers: 1
Wheels: OS Independent

Readme

DeepCTR-Torch

CI status

PyTorch version of DeepCTR.

DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to build your own custom model easily.You can use any complex model with model.fit()and model.predict() .Install through pip install -U deepctr-torch.

Let's Get Started!(Chinese Introduction)

Models List

Model	Paper
Convolutional Click Prediction Model	[CIKM 2015]A Convolutional Click Prediction Model
Factorization-supported Neural Network	[ECIR 2016]Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction
Product-based Neural Network	[ICDM 2016]Product-based neural networks for user response prediction
Wide & Deep	[DLRS 2016]Wide & Deep Learning for Recommender Systems
DeepFM	[IJCAI 2017]DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Piece-wise Linear Model	[arxiv 2017]Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction
Deep & Cross Network	[ADKDD 2017]Deep & Cross Network for Ad Click Predictions
Attentional Factorization Machine	[IJCAI 2017]Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Neural Factorization Machine	[SIGIR 2017]Neural Factorization Machines for Sparse Predictive Analytics
xDeepFM	[KDD 2018]xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Deep Interest Network	[KDD 2018]Deep Interest Network for Click-Through Rate Prediction
Deep Interest Evolution Network	[AAAI 2019]Deep Interest Evolution Network for Click-Through Rate Prediction
AutoInt	[CIKM 2019]AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
ONN	[arxiv 2019]Operation-aware Neural Networks for User Response Prediction
FiBiNET	[RecSys 2019]FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
IFM	[IJCAI 2019]An Input-aware Factorization Machine for Sparse Prediction
DCN V2	[arxiv 2020]DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
DIFM	[IJCAI 2020]A Dual Input-aware Factorization Machine for CTR Prediction
AFN	[AAAI 2020]Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
SharedBottom	[arxiv 2017]An Overview of Multi-Task Learning in Deep Neural Networks
ESMM	[SIGIR 2018]Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
MMOE	[KDD 2018]Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
PLE	[RecSys 2020]Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

DisscussionGroup & Related Projects

Github Discussions
Wechat Discussions

公众号：浅梦学习笔记	微信：deepctrbot	学习小组加入主题集合

Related Projects

Main Contributors(welcome to join us!)

Shen Weichen Alibaba Group	Zan Shuxun Alibaba Group	Wang Ze Meituan	Zhang Wutong Tencent	Zhang Yuefeng Peking University
Huo Junyi University of Southampton	Zeng Kai SenseTime	Chen K NetEase	Cheng Weiyu Shanghai Jiao Tong University	Tang Tongji University

deepctr-torch dependencies

scikit-learn tensorflow torch tqdm

FAQs

What is deepctr-torch?

Easy-to-use,Modular and Extendible package of deep learning based CTR(Click Through Rate) prediction models with PyTorc... Visit Snyk Advisor to see a full health score report for deepctr-torch, including popularity, security, maintenance & community analysis.

Is deepctr-torch popular?

The python package deepctr-torch receives a total of 1,986 weekly downloads. As such, deepctr-torch popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is deepctr-torch well maintained?

We found indications that deepctr-torch is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is deepctr-torch safe to use?

While scanning the latest version of deepctr-torch, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 17 November-2024, at 02:01 (UTC).

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