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
Feb 10, 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.
A Python implementation of LightFM, a hybrid recommendation algorithm.
Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud https://qdrant.to/cloud
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.
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
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
A Deep Learning Recommender System
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
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
Recommender Learning with Tensorflow2.x
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Machine Learning Platform and Recommendation Engine built on Kubernetes
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