Fisher87 / ai_explore
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
☆67Updated 2 years ago
Alternatives and similar repositories for ai_explore:
Users that are interested in ai_explore are comparing it to the libraries listed below
- 推荐算法学习☆39Updated 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
- 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。☆104Updated 4 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- 自己学习推荐系统过程中用到的代码☆50Updated 5 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 6 years ago
- Common Model about DeepCTR(WideDeep,DeepFM, DCN, XdeepFM)☆30Updated 5 months ago
- tensorflow2.0 实现的 DeepFM,使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- 推荐系统从入门到实战☆168Updated 3 years ago
- ☆201Updated last month
- A simple start for collaborative filtering.☆20Updated 4 years ago
- ctr、cvr预估☆49Updated 4 years ago
- 推荐系统之深度学习模型,框架采用tensorflow2☆57Updated 2 years ago
- 推荐系统排序模型复现☆46Updated 4 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆101Updated 7 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)☆88Updated 4 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆45Updated 4 years ago
- This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…☆57Updated 7 months ago
- Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤☆139Updated 5 years ago
- gbdt+lr☆161Updated 6 years ago
- keras implementation about Deep Interest Network☆65Updated 5 years ago
- 将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现☆55Updated 5 years ago
- 一些CTR模型和常见特征工程的方法☆26Updated 4 years ago
- ☆172Updated 4 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆159Updated 2 years ago
- 推荐系统读书笔记、思维导图等☆40Updated last year
- ☆16Updated 5 years ago
- 存放推荐算法相关代码、文档、资料☆247Updated 4 years ago
- DeepFM for CTR prediction problem (pytorch 1.0)☆72Updated 5 years ago
- ☆94Updated 3 years ago