Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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Updated
Mar 18, 2023 - Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
An open source recommender system service written in Go
A Curated List of Must-read Papers on Recommender System.
Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
A Python implementation of LightFM, a hybrid recommendation algorithm.
Papers on Computational Advertising
Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Accelerated deep learning R&D
Classic papers and resources on recommendation
Deep recommender models using PyTorch.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
An index of algorithms for learning causality with data
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
A Deep Learning Recommender System
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
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