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Jongyoon (John) Kim πŸ‘‹

  • πŸ“š I'm studying (Ph.D) Artificial Intelligence at LDI lab, Seoul National University, South Korea.
  • πŸŽ“ My final degree is (BEng, Bachelor) Electrical and Electronics Engineering.
  • πŸ”­ I’m researching about Nerual IR and Natural Language Processing (NLP).
  • 🌱 I’m currently learning Machine Learning and Deep Learning for NLP and IR.
  • πŸ€” I’m looking for help with strengthening my ML/DL knowledge and how to apply the knowledge to life.

Please take a look at My Blog!

Here is my CV page.

Projects

πŸ“Š Github Stats

John's github stats trans lang John's github stats

Major Tech Stacks

Languages

Python Scala

Others Available
JavaScript Java C C++

Data Engineering/Science

PyTorch PyTorchLightning Jupyter pandas

Others Available
Elastic ElasticCloud Elasticsearch ElasticStack GoogleColab NumPy OpenCV scikit-learn SciPy TensorFlow

Apache

Airflow ApacheHadoop ApacheSpark

Server

Linux Docker

Others Available
Debian Ansible Jenkins NGINX ngrok

Other Skills & Tools

Have a Look! πŸ‘€

IDEs/tools

IntellijIDEA PyCharm iTerm2

Others Available
DataGrip Git GitLFS GitHub GNUBash Postman VisualStudioCode

Web > Front

Vue.js React

Others Available
CSS3 D3 Expo HTML5 Vuetify

Web > Back

Django Flask MariaDB MySQL Spring

Web > Design

Figma FontAwesome

Cloud Platforms

GoogleCloud

Hardware

Arduino

John JongYoon Kim's Projects

colbert icon colbert

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22)

deep-learning-from-scratch-2 icon deep-learning-from-scratch-2

γ€Žλ°‘λ°”λ‹₯λΆ€ν„° μ‹œμž‘ν•˜λŠ” λ”₯λŸ¬λ‹ ❷』(ν•œλΉ›λ―Έλ””μ–΄, 2019)

genedisco-starter icon genedisco-starter

The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.

github-stats-transparent icon github-stats-transparent

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

gpl icon gpl

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

hadoop-book icon hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

handson-ml2 icon handson-ml2

ν•Έμ¦ˆμ˜¨ λ¨Έμ‹ λŸ¬λ‹ 2/E의 μ£Όν”Όν„° λ…ΈνŠΈλΆ

lightning-hydra-template icon lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚑πŸ”₯⚑

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