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Name: linyi30
Type: User
Name: linyi30
Type: User
Classical RecSys algorithms implemented by using TensorFlow Estimators
原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Recurrence the recommender paper with Tensorflow2.0
一个基于 fasttext + faiss 的商品内容相关推荐实现,nginx+uwsgi+flask / gunicorn+uvicorn+fastapi 提供api查询接口,增加Spark实现 Ansj+Word2vec+LSH+Phoenix
【最新版】深度学习模型(推荐场景CTR预估为背景), 使用estimator进行封装, 包括dnn、deepfm、din、dinfm、autoint等模型
A Curated List of Must-read Papers on Recommender System.
Primary Recommender System: online[matching|ranking...](Flask|Vue) - nearline[model serving|real-time service](Flink|tensorflow serving|redis) - offline[feature engine|model training](Spark|Hdfs(Hbase)|tf)
A Deep Learning Recommender System
主要存储Datawhale组队学习中“推荐系统”方向的资料。
Tensorflow implementation of DeepFM for CTR prediction.
tensorflow-learning-tutorials
利用tensorflow/serving进行单模型、多模型、同一模型多版本的部署,并进行模型预测,并用Prothemus进行服务监控。
A Neural Collaborative Filtering implementation with tensorflow estimator.
TensorFlow Script
just tiny python
Code for the paper "Truncated LinUCB for Stochastic Linear Bandits"
Implemented SASRec, Bert4Rec using tensorflow estimator for comparison.
Wide and Deep Learning for CTR Prediction in tensorflow
A flexible, high-performance serving system for machine learning models
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.