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University of Toronto
- Toronto, Canada
- https://shitianyu-hue.github.io/
Stars
Symphony — A decentralized multi-agent framework that enables intelligent agents to collaborate seamlessly across heterogeneous edge devices through beacon-guided task routing and Chain-of-Thought …
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | …
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
[NeurIPS'25] ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
Prompts for our Grok chat assistant and the `@grok` bot on X.
Framework for Multi-Agent Deep Reinforcement Learning in Poker
LLM and Langchain powered chatbot to handle Google Calendar tasks
An unoffical implementation of AlphaHoldem. 1v1 nl-holdem AI.
利用AI大模型,一键解说并剪辑视频; Using AI models to automatically provide commentary and edit videos with a single click.
Pokerstars bot that plays real-time poker using GPT4
A collection of GPT system prompts and various prompt injection/leaking knowledge.
Extract "most replayed" moments from youtube videos in Python
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Benchmarking RL generalization in an interpretable way.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
SafeZone: Real-time Video Analytics for Industrial Safety
[IJCAI 2024] Generate different roles for GPTs to form a collaborative entity for complex tasks.
This is a resouce list for low light image enhancement
ai副业赚钱大集合,教你如何利用ai做一些副业项目,赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English versi…
A Multi-Modal Large Language Model with Retrieval-augmented In-context Learning capacity designed for generalisable and explainable end-to-end driving