#自然语言处理#Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
翻译 - 包含代码,数学和讨论的交互式深度学习书。在多框架中可用。
#搜索#Weaviate 是一个开源矢量数据库,它同时存储对象和矢量,允许将矢量搜索与结构化过滤与云原生数据库的容错和可扩展性相结合,所有这些都可以通过 GraphQL、REST 和各种语言客户端访问。
#计算机科学#Gorse是一个用Go语言编写的开源推荐系统。Gorse的目标是成为一个通用的开源推荐系统,可以很容易地被引入到各种各样的在线服务中。通过将物品、用户和交互数据导入到Gorse中,系统将自动训练模型,为每个用户生成推荐。
#计算机科学#RSTutorials: A Curated List of Must-read Papers on Recommender System.
#搜索#Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
#面试#推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
#计算机科学#A Python implementation of LightFM, a hybrid recommendation algorithm.
翻译 - LightFM的Python实现,一种混合推荐算法。
#计算机科学#Papers on Computational Advertising
#计算机科学#Fast Python Collaborative Filtering for Implicit Feedback Datasets
#计算机科学#Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
翻译 - Alink是阿里巴巴计算平台的PAI团队开发的基于Flink的机器学习算法平台。
#计算机科学#Classic papers and resources on recommendation
#自然语言处理#Accelerated deep learning R&D
翻译 - 加快DL研发
#自然语言处理#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
#计算机科学#Deep recommender models using PyTorch.
#自然语言处理#📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
#计算机科学#This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
#搜索#🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
翻译 - 🚀 用 Rust 编写的高效近似最近邻搜索算法集合库 🦀 。
#搜索#Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍