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Isekai travelling
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Isekai travelling
105 followers · 57 following

Achievements

Achievement: Starstruckx2Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: Starstruckx2Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLO

Highlights

  • Pro

Organizations

@LLMQuant @Graph-COM @cka-agent

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frinkleko/README.md
  • 👋 Hi, I’m Xinjie Shen
  • 👀 I’m interested in ML and HCI.
  • 🌱 I’m currently a first-year PhD student majoring in ML in Georgia Institute of Technology
  • 📫 Reach me by xinjie@gatech.edu
  • 😆 Know more about me on my personal website xinjie-shen.com, Github is for codes.
  • 😎 Without special conditions, all my codes are available under GPLv3 by default.

Language&Platform&Tools

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  1. microsoft/RD-Agent microsoft/RD-Agent Public

    Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

    Python 12k 1.4k

  2. FinReport FinReport Public archive

    [WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"

    Jupyter Notebook 106 13

  3. zhichao-aws/opensearch-sparse-model-tuning-sample zhichao-aws/opensearch-sparse-model-tuning-sample Public

    Code of fine-tuning neural sparse models and training from scratch. #SIGIR2025

    Python 24 1

  4. AutoHajimiMosaic AutoHajimiMosaic Public

    一款自动为你的色图进行哈基米马赛克处理的打码器😎再也不用担心家里请不到高人了|自动哈基米打码器

    Python 284 15

  5. Graph-COM/CKA-Agent Graph-COM/CKA-Agent Public

    Official Implementation of the CKA-Agent, "The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search".

    Python 169 42

  6. LIMIT-Sparse-Embedding LIMIT-Sparse-Embedding Public

    Evaluate state-of-the-art sparse embedding models on the LIMIT dataset (`limit-small` and `limit`) from google's paper `On the Theoretical Limitations of Embedding-Based Retrieval`

    Jupyter Notebook 16