FASTJSON 2.0.x has been released, faster and more secure, recommend you upgrade.

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

The recommended Code Splitting library for React ✂️✨

A Prettier plugin for Tailwind CSS that automatically sorts classes based on our recommended class order.

A Python scikit for building and analyzing recommender systems

VPS 融合怪服务器测评项目 更推荐使用无环境依赖的Go版本 VPS Fusion Monster Server Test Script – More recommended to use the Go version with no environment dependencies: https://github.com/oneclickvirt/ecs

RSTutorials: A Curated List of Must-read Papers on Recommender System.

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Recommend new arxiv papers of your interest daily according to your Zotero libarary.

A List of Recommender Systems and Resources

🛠️ The recommended way to start a Vite-powered Vue project

⚡️ Libraries for building performant and instant search and recommend experiences with Algolia. Compatible with JavaScript, TypeScript, React and Vue.

a tag and recommend system for old bus driver 给老司机用的一个番号推荐系统

A list of computer-science readings I recommend

Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.

LibRec: A Leading Java Library for Recommender Systems, see

Deep recommender models using PyTorch.

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

A Deep Learning Recommender System

This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java.

This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/javascript/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-js.

A list of awesome papers and resources of recommender system on large language model (LLM).

Awesome RSS feeds - A curated list of RSS feeds (and OPML files) used in Recommended Feeds and local news sections of Plenary - an RSS reader, article downloader and a podcast player app for android

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Recommender Learning with Tensorflow2.x

官方推荐的 ChatTTS 资源汇总项目，整理了全网相关资源和常见问题 || Officially recommended ChatTTS resource collection project

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Track emissions from Compute and recommend ways to reduce their impact on the environment.