- π Iβm a first-year master student in the LAMDA Group, Nanjing University (NJU).
- π My research interests include Machine Learning and Data Mining. Currently, I focus on Pre-trained Model-based Class-Incremental Learning and Multimodal Large Language Models.
- π Find more information about me on my personal page.
- π« Contact me via [email protected], welcome to collaborate and communicate!
π€
work-life balance
M.Sc. student @ LAMDA, NJU-AI
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Nanjing University
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12:04
(UTC +08:00) - https://www.lamda.nju.edu.cn/sunhl/
Highlights
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LAMDA-PILOT
LAMDA-PILOT Publicπ PILOT: A Pre-trained Model-Based Continual Learning Toolbox
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AIDC-AI/Parrot
AIDC-AI/Parrot Publicπ The code repository for "Parrot: Multilingual Visual Instruction Tuning" in PyTorch.
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CVPR24-Ease
CVPR24-Ease PublicThe code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
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G-U-N/PyCIL
G-U-N/PyCIL PublicPyCIL: A Python Toolbox for Class-Incremental Learning
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Awesome-Incremental-Learning-with-Pre-trained-Models
Awesome-Incremental-Learning-with-Pre-trained-Models Publicπ π A curated list of awesome papers for incremental learning with pre-trained models
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open-compass/VLMEvalKit
open-compass/VLMEvalKit PublicOpen-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks
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