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15 followers · 28 following
  • Melbourne

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

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LouisDo2108/README.md

Dear random visitor,

Thank you for checking out my profile.

Recently, I have been working in the intersection of continual learning, information retrieval, and representation learning.

💻 If you have any questions about my code, feel free to open an issue. I’m always happy to help!

💼 I’m open to opportunities where I can apply my skills to new and relevant domains.

👷 I’m working hard to improve my current and future family life 🏡.

Linkedin: @louisdo2108

Note: 🙇‍♂️ Some code may be missing, incomplete, or not actively maintained. These works were collaborative at the idea level, but all coding and implementation were done independently by me. Due to the nature of my PhD, there was limited incentive to maintain code or ensure complete public releases. However, I will try my best to do so in the near future. 🙇‍♂️

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  1. Awesome-Continual-Learning-for-Information-Retrieval Awesome-Continual-Learning-for-Information-Retrieval Public

    Awesome Continual Learning for Information Retrieval

    2

  2. MixLoRA-DSI MixLoRA-DSI Public

    [EMNLP 2025 Main] Official implementation of "MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora"

    Python 2 1

  3. PromptDSI PromptDSI Public

    [ECML PKDD 2025] Official implementation of "PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval"

    Python 1

  4. MEAL MEAL Public

    [JIIM'24] Improving Laryngoscopy Image Analysis through Integration of Global Information and Local Features in VoFoCD Dataset

    Python 2

  5. MediaEval2022-TailAwareSpermDetection MediaEval2022-TailAwareSpermDetection Public

    "Tail-Aware Sperm Analysis for Transparent Tracking of Spermatozoa" Official Implementation

    Jupyter Notebook 10 1

  6. ACS-nnU-Net ACS-nnU-Net Public

    [PSIVT'23] ACS nnU-Net: Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding

    Python