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ByungKwanLee/README.md

🔭 I’m currently Research Scientist at NVIDIA, building high-performing and efficient vision-language models. My research explores knowledge distillation, model pruning, reinforcement learning, multimodal agent, and agent harness. I received Ph.D. from the School of Electrical Engineering at KAIST.

Personal Homepage

NVIDIA Official Homepage

🥅 It is my dream to build real AGI model by my own hands, contribuitng the world's advancement.

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  1. Distill-R1 Distill-R1 Public

    Open-source RL Framework with Online Teacher-Student Distillation

    Python 22 1

  2. DeepSick-R1 DeepSick-R1 Public

    Reproduction of DeepSeek-R1

    Python 238 23

  3. TroL TroL Public

    [EMNLP 2024] Official PyTorch implementation code for realizing the technical part of Traversal of Layers (TroL) presenting new propagation operation to get super vision language performances.

    Python 99 1

  4. Meteor Meteor Public

    [NeurIPS 2024] Official PyTorch implementation code for realizing the technical part of Mamba-based traversal of rationale (Meteor) to improve performance of numerous vision language performances f…

    Python 117 6

  5. MoAI MoAI Public

    [ECCV 2024] Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks.

    Python 330 32

  6. Full-Segment-Anything Full-Segment-Anything Public

    This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-process…

    Python 166 11