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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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@NoobNLP

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fairyshine/README.md

I Hi there 👋

I am interested in machine learning and specialize in NLP and multimodality.

II Software 🎯

- FastMindAPI (Python)

An easy-to-use, high-performance(?) backend for serving LLMs and other AI models, built on FastAPI.

https://github.com/fairyshine/FastMindAPI

III Research 🔍

Package 🎉

- WillMindS

Efficiently set up your experimental environment with features such as logging, parameter management, code backup, and algorithms.

https://github.com/fairyshine/WillMindS.AI

Methodology 🚀

- TableEE

Doc Event Extraction method for documentray with tables.

https://github.com/fairyshine/TableEE

Dataset 📄

- Seal-Tools

Tool Learning Dataset for fine-tuning and benchmark.

https://github.com/fairyshine/Seal-Tools

IV Coding Stats 💻

fairyshine's GitHub stats

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  1. Seal-Tools Seal-Tools Public

    The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.

    Python 36 3

  2. FastMindAPI FastMindAPI Public

    An easy-to-use, high-performance(?) backend for serving LLMs and other AI models, built on FastAPI.

    Python

  3. WillMindS.AI WillMindS.AI Public

    Efficiently set up your experimental environment with features such as logging, parameter management, code backup, and algorithms.

    Python