8000 choiszt (Shuai Liu) · GitHub
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choiszt/README.md

My name is Liu Shuai, and I am a MPhil student at MMLab@NTU, Singapore.

🔍 My research focus on Multimodality and Egocentric AI.
As a member of LMMs-Lab , I am on an exciting journey towards LMMs and feeling the AGI.

Besides, I'm on my way to becoming a full-stack developer (with VibeCoding 🤣), and spend 2% of my free time developing webgames.

🚀 Previous Projects:

✨Stay Tuned for more wonderful research. ✨

🚀 Introducing Aero-1-Audio — a compact yet mighty audio model.

  • ⚡ Trained in <24h on just 16×H100
  • 🎧 Handles 15+ min audio seamlessly
  • 💡 Outperforms Whisper, Qwen-2-Audio, and ElevenLabs/Scribe

In the journey towards creating 👓 egocentric life-long intelligence, I gained experience curating and training egocentric MLLMs with multimodal inputs (audio, video, IMU, etc.).

Gained experience in utilizing VLMs for embodied code execution.

Also worked as a temporary 🥷 game hacker (for research purpose), compiling C# plugins for GTA-V and TypeScript for Minecraft.

There, I learned the principles of 🕸️LMMs Evaluation and was the main contributor in customizing new LMMs, implementing multi-node model inference and multiprocessing.

📈 GitHub Stats

📬 Get in Touch

Feel free to reach out for collaboration or just chat!

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  1. EvolvingLMMs-Lab/EgoLife EvolvingLMMs-Lab/EgoLife Public

    [CVPR 2025] EgoLife: Towards Egocentric Life Assistant

    Python 281 17

  2. EvolvingLMMs-Lab/lmms-eval EvolvingLMMs-Lab/lmms-eval Public

    Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.

    Python 2.5k 279

  3. dongyh20/Octopus dongyh20/Octopus Public

    [ECCV2024] 🐙Octopus, an embodied vision-language model trained with RLEF, emerging superior in embodied visual planning and programming.

    Python 287 18

  4. Jingkang50/PSG4D Jingkang50/PSG4D Public

    4D Panoptic Scene Graph Generation (NeurIPS'23 Spotlight)

    Python 109 3

  5. circlemind-ai/fast-graphrag circlemind-ai/fast-graphrag Public

    RAG that intelligently adapts to your use case, data, and queries

    Python 3.3k 184

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