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gazelle93/README.md

Hi there 👋 Welcome to my page!

My name is Mingyou Sung. I'm an NLP researcher & ML developer in Montreal, Quebec, Canada.

Here's some info about me!

  • Languages: Korean (Native), English (Fluent)
  • Programming Languages & frameworks: Python, PyTorch, HuggingFace, Scikit-Learn, NLTK, Regular Expression, GATE (General Architecture for Text Engineering), Unix/Linux, Git, GCP, Latex, AWS (Sagemaker, S3, EC2)

Education 🏫

Research Experience ⭐

Project Experience ☕

  • Product Category Classification & Similar Product Identification

    • Building automatic categorization system using title and description of e-commerce products cooperate with KIES (Korea Information Engineering Services) using Word2vec and TF-IDF

  • Offering Wine Information and Recommendation on Android and Web Application

    • Final year project at Hongik University (Won the excellent prize and was selected as a creditable work)
    • Developing an Android and Web application that offers wine label recognition using CNN, wine recommendation via chatbot using Regex, and a function to search for various information about wines using AWS

Addiational Activities 📝

Teaching Assistant

  • Course: COMP 479 - Information Retrieval and Web Search
  • Tutored undergrads to minimize the gap between the knowledge and implementation on several information retrieval techniques such as BM25, TF-IDF

Popular repositories Loading

  1. Transformer-Various-Positional-Encoding Transformer-Various-Positional-Encoding Public

    This project aims to implement the Transformer Encoder blocks using various Positional Encoding methods.

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  2. Multiclass-Focal-loss-pytorch Multiclass-Focal-loss-pytorch Public

    This is an implementation of multi-class focal loss in PyTorch.

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  3. charCNN charCNN Public

    This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

    Python 3

  4. Attention-Various-Positional-Encoding Attention-Various-Positional-Encoding Public

    This project aims to implement the Scaled-Dot-Product Attention layer and the Multi-Head Attention layer using various Positional Encoding methods.

    Python 3

  5. Depedency-Graph-Attention-Networks Depedency-Graph-Attention-Networks Public

    This project aims to develop dependency-graph-attention-networks in order to represent the dependency relations of each word from given text utilizing masked self-attention. The output of the depen…

    Python 1

  6. Span-Detection-Using-LSTMs Span-Detection-Using-LSTMs Public

    This project aims to implement the LSTM and Bidirectional LSTM for span detection from given text.

    Python 1