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tyui592/README.md

Minseong Kim

⚒️ Technical Skills

  • 🐍 Languages: Python, SQL, Bash
  • 📚 Frameworks & Libraries: PyTorch, TensorFlow, LibTorch, OpenCV, FastAPI
  • ☁️ Cloud & DevOps: GCP, 🐳 Docker, Git
  • 🗄️ Databases: MySQL, SQLite3
  • 🤖 ML/DL: Detection, Recognition, Optimization (Pruning, ONNX, TensorRT), Triton, W&B
  • 🔄 Data Engineering: ETL Pipeline Design, Data Lake Architecture

📚 Implementations

  • 🎨 Image Style Transfer
    • CNN-based Style Transfer
      Nueral Style (CVPR 2016) Code · Perceptual Loss (ECCV 2016) Code · Learned Representation (ICLR 2017) Code

    • Arbitrary Style Transfer
      AdaIN (ICCV 2017) Code · Avatar-Net (CVPR 2018) Code

    • Efficiency Improvements
      Uncorrelated Encoding (Neural Networks 2021) Code · Compact Transfer (Sensors 2022) Code

  • 🕵️ Object Detection
    • Anchor-free
      Objects as Points (arXiv 2019) Code

    • Transformer-based
      DETR & variants (Conditional, DAB, DN, DINO) Code

  • 🧑‍🏫 Semi-Supervised Learning
    • Consistency-based
      FixMatch (NeurIPS 2020) Code

    • Curriculum Pseudo-Labeling
      FlexMatch (NeurIPS 2021) Code

  • ✂️ Model Pruning
    • Filter Pruning
      Filter Puring (ICLR 2017) Code
  • 🗣 NLP
    • Transformers
      Attention Is All You Need (NeurIPS 2017) Code

    • Large Language Models
      GPT Code

  • 🔧 Miscellaneous
    • Weakly-Supervised Localization
      CAM (CVPR 2016) Code

    • Knowledge Distillation
      Knowledge Distillation (NeurIPS 2014 Workshop) Code

    • Side Proejcts
      🎾 Hawk-Eye Code

Pinned Loading

  1. Pruning_filters_for_efficient_convnetsPruning_filters_for_efficient_convnetsPublic

    PyTorch implementation of "Pruning Filters For Efficient ConvNets"

    Jupyter Notebook 155 29

  2. awesome-precipitation-nowcastingawesome-precipitation-nowcastingPublic

    A list of Precipitation Nowcasting papers and related resources.

    195 28

  3. Avatar-Net_PytorchAvatar-Net_PytorchPublic

    PyTorch implementation of "Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration"

    Jupyter Notebook 40 5

  4. Perceptual_loss_for_real_time_style_transferPerceptual_loss_for_real_time_style_transferPublic

    PyTorch implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution"

    Python 43 12

  5. class_activation_mapclass_activation_mapPublic

    PyTorch implementation of "Learning Deep Features for Discriminative Localization"

    Python 30 6

  6. Real_Time_Helmet_DetectionReal_Time_Helmet_DetectionPublic

    Helmet Detector based on the CenterNet.

    Python 11 1