Kaggle Avazu beat-the-benchmark model
☆36Jan 24, 2015Updated 11 years ago
Alternatives and similar repositories for kaggle_avazu_benchmark
Users that are interested in kaggle_avazu_benchmark are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Avazu Kaggle competition☆15Mar 3, 2015Updated 11 years ago
- Code for the 3rd place finish for Avazu Click-Through Rate Prediction☆87Mar 2, 2015Updated 11 years ago
- LR、FM model solved by ftrl and sgd parallel on MPI☆110Dec 3, 2017Updated 8 years ago
- Criteo/Kaggle Competition of CTR prediction☆130Oct 7, 2014Updated 11 years ago
- Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition☆259Nov 10, 2016Updated 9 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Software for the kaggle criteo challenge☆53Oct 5, 2014Updated 11 years ago
- Java implementation of the Microsoft's AdPredictor algorithm☆17Mar 19, 2018Updated 8 years ago
- A Python wrapper for the libffm library.☆239Apr 26, 2018Updated 7 years ago
- libffm with ftrl updater☆94Jul 30, 2017Updated 8 years ago
- Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.☆129Jun 22, 2021Updated 4 years ago
- Notes on Logistic Regression and OWLQN☆26Apr 8, 2017Updated 9 years ago
- A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python☆92Dec 26, 2013Updated 12 years ago
- 简易的模型监控界面：定期更新的用户信用分及特征分布☆16Jan 12, 2018Updated 8 years ago
- Click Through Rate Prediction☆14Dec 28, 2014Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线☆26Jun 6, 2017Updated 8 years ago
- ☆447Aug 16, 2024Updated last year
- The code that I used in Click-Through Rate Prediction (http://www.kaggle.com/c/avazu-ctr-prediction/) (C++). It implements the Follow The…☆12Mar 2, 2015Updated 11 years ago
- FTRL proximal algorithm according to McMahan et al. 2013☆24Apr 10, 2019Updated 7 years ago
- For thesis☆26Jul 1, 2017Updated 8 years ago
- Sparse feature extraction with Spark☆30Jul 25, 2018Updated 7 years ago
- Winning solution to the Avito CTR competition☆138Aug 27, 2015Updated 10 years ago
- 天池比赛，新手离线赛，阿里移动推荐☆37May 4, 2016Updated 9 years ago
- ☆31May 1, 2018Updated 7 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An implement of Factorization Machines (LibFM)☆250Aug 13, 2018Updated 7 years ago
- ☆27Jun 26, 2017Updated 8 years ago
- follow-the-regularized-leader implemented by java, with an example using criteo dataset.☆37Oct 4, 2015Updated 10 years ago
- Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge☆22Sep 23, 2014Updated 11 years ago
- logistic regression model by ftrl based on ps-lite(parameter server)☆34Sep 11, 2016Updated 9 years ago
- LR and FM (with sgd or ftrl) model☆25Jun 1, 2016Updated 9 years ago
- This is a Kaggle data mining contest, link: https://www.kaggle.com/c/avazu-ctr-prediction☆11Mar 12, 2015Updated 11 years ago
- 7th in a competition organised by ICT☆24Dec 23, 2015Updated 10 years ago
- Multithreaded Asynchronous FTRL Proximal Implementation☆126Jun 18, 2017Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- LASER-A Scalable Response Prediction Platform For Online Advertising☆48Sep 23, 2014Updated 11 years ago
- ☆19Jul 11, 2023Updated 2 years ago
- 一个以文本类算法为基础、结合场景的风险防控系统☆16Jan 17, 2017Updated 9 years ago
- How to use automatic polynomial features and neural network mode in VW☆17Jun 21, 2014Updated 11 years ago
- ☆15Jul 24, 2018Updated 7 years ago
- Embedded Kafka for testing and quick prototyping.☆14Apr 19, 2016Updated 10 years ago
- MXNet for CTR☆50Sep 1, 2017Updated 8 years ago