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
Aug 18, 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.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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.
Gorse open source recommender system engine
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A Python implementation of LightFM, a hybrid recommendation algorithm.
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
Papers on Computational Advertising
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
Classic papers and resources on recommendation
Accelerated deep learning R&D
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
An index of algorithms for learning causality with data
Deep recommender models using PyTorch.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
A Deep Learning Recommender System
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