Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Updated
May 12, 2024 - Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A Curated List of Must-read Papers on Recommender System.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Papers on Computational Advertising
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
Classic papers and resources on recommendation
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Gorse open source recommender system engine
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Neural Collaborative Filtering
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Recommender Learning with Tensorflow2.x
An index of algorithms for learning causality with data
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
Deep recommender models using PyTorch.
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
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