Orisun / Industrial-machine-learning
Complete code of the book " Industrial Machine Learning Algorithms"
☆27Updated 3 years ago
Alternatives and similar repositories for Industrial-machine-learning:
Users that are interested in Industrial-machine-learning are comparing it to the libraries listed below
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆103Updated 4 years ago
- esmm model by tensorflow keras☆68Updated 3 years ago
- Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤☆137Updated 5 years ago
- ☆172Updated 4 years ago
- 推荐系统实战☆33Updated 5 years ago
- 推荐系统从入门到实战☆168Updated 3 years ago
- ☆197Updated 5 years ago
- ctr、cvr预估☆49Updated 4 years ago
- implement fm demo with python☆51Updated 5 years ago
- 基于ESMM、MMoE和deepFM的多目标模型☆26Updated 3 years ago
- 推荐系统相关模型 包括召回和排序☆29Updated 5 years ago
- 推荐算法学习☆39Updated last year
- 推荐系统之深度学习模型,框架采用tensorflow2☆55Updated 2 years ago
- 简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法☆59Updated 6 years ago
- C++开发\机器学习\深度学习\推荐算法基础知识及面试题总结☆20Updated 4 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆46Updated 6 years ago
- 《推荐系统开发实战》代码及勘误☆59Updated 4 years ago
- tensorflow2.0 实现的 DeepFM,使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆187Updated 3 years ago
- ☆45Updated 2 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- 广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践(附数据 + 代码)☆83Updated 4 years ago
- This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…☆54Updated 5 months ago
- ☆64Updated last year
- Tensorflow2.x implementations of CTR(LR、FM、FFM)☆72Updated 3 years ago
- gbdt+lr☆159Updated 6 years ago
- 2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/☆82Updated 4 years ago
- Spark学习笔记☆45Updated last year
- Tensorflow implementations of various Learning to CTR algorithms.☆16Updated 2 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆288Updated 3 years ago