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  • NanJing University
  • Nanjing

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@NJUHML

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mgl666/README.md

Hi, I'm Guanlong Ma 👋

Researcher focusing on AI for Science (AI4S) and AI Infrastructure (AIInfra), with interests in foundation models for Earth systems and large-scale AI systems. Personal Website: https://mgl666.github.io/

🌎 Atmospheric Projects

  • NJU-Earth (NJUHML)

    Global AI Earth system model at 0.25° resolution. [Code]

  • BaguanHR (NJUHML & Alibaba DAMO)

    Global high-resolution AI weather model at 0.1° resolution. [Paper]

  • RegionalCast (NJUHML)

    Regional surface variable forecasting system at 0.05° resolution. [Code] [Paper]

  • RainCast (NJUHML & Alibaba DAMO)

    Regional high-resolution precipitation forecasting at 0.05° resolution. [Code] [Paper]

  • NJU-Mars (NJUHML)

    Global AI model for Martian atmospheric prediction at 5° resolution. [Code] [Paper]

⚙️ AI Infrastructure Projects

  • Coming soon Projects on large-scale AI systems, distributed training, model deployment, and AI infrastructure.

📊 Data Science Projects

🛠️ MiniTools

  • MiniMusic

    A lightweight local music player. No ads. [Code]

  • MiniPDF

    A lightweight PDF tool for reading, merging, and editing. [Code]

  • MiniSpark

    A lightweight AI Agent framework that runs on a 1GB server. [Code]

  • aiapiport

    A minimal LLM API gateway that unifies all your scattered API keys into a single endpoint. [Code]

Pinned Loading

  1. NJUHML/NJU-Earth NJUHML/NJU-Earth Public

    Python

  2. NJUHML/RainCast NJUHML/RainCast Public

    Python

  3. aiapiport aiapiport Public

    A minimal LLM API gateway written in Go. Aggregates multiple upstream providers and keys into a single OpenAI-compatible endpoint. Idle memory: **~12 MB** (vs ~200 MB for Python LiteLLM).

    Go

  4. MiniMusic MiniMusic Public

    一个简约的音乐播放器

    TypeScript

  5. MiniSpark MiniSpark Public

    Lightweight AI Agent Framework - Designed specifically for 1GB memory servers with less than 100MB of running memory. It is lighter and more customizable than common Agent frameworks.

    Python

  6. SDT-Framework SDT-Framework Public

    A novel self-supervised downscaling training framework (SDT-Framework)

    Python