Popular GitHub Repositories for Collaborative Decoding

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

LightSeq: A High Performance Library for Sequence Processing and Generation

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

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

? Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms?

Neural Collaborative Filtering

Deep learning for recommender systems

Large-scale LLM inference engine

? 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.

Factorization Machine models in PyTorch

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

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.