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jmha02/README.md

Personal Statements

  • I'm highly interested in HW/SW stack for accelerating Training/Inference of Big Models.

Research Interests

  • Efficient ML, DL Compiler & Framework, On-Device Training

Academic Background

SNU (Seoul National University)

  • Integrated MS & PhD in Graduate School of Data Science, 2025.9 ~
  • CODE (Computing Optimization & Data-Driven Exploration Lab), Under prof. Hyojin Sung

POSTECH (Pohang University of Science and Technology)

  • B.S. in Electrical Engineering, 2021.3 ~ 2025.2

Contacts

Popular repositories Loading

  1. jmha02 jmha02 Public

    Me

  2. CUDA-Attention CUDA-Attention Public

    Cuda 1

  3. pytorch pytorch Public

    Forked from pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python

  4. tiny-training tiny-training Public

    Forked from mit-han-lab/tiny-training

    Python

  5. peft-vit peft-vit Public

    Forked from rezaakb/peft-vit

    Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting

    Python

  6. dino dino Public

    Forked from facebookresearch/dino

    PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

    Python