Popular GitHub Repositories for Collaborative

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Gorse open source recommender system engine

The world’s first real-time, distributed, cloud-edge collaborative multimodal AI Agent Framework that simultaneously supports C/C++/Go/Python/JS/TS

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

The best apps in the AI era aren’t solo experiences—they’re collaborative. Liveblocks provides customizable pre?built features to make your product multiplayer, engaging, and AI?ready. All without derailing your roadmap.

A unified, comprehensive and efficient recommendation library

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

Neural Collaborative Filtering

Deep learning for recommender systems

Factorization Machine models in PyTorch

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

? Stateful Serverless That Runs Anywhere. The easiest way to build stateful, AI agent, collaborative, or local-first applications. Deploy to Rivet, Cloudflare, Bun, Node.js, and more.

Next RecSys Library

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A Comparative Framework for Multimodal Recommender Systems

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.