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Jinho Ko

Greetings! 🤩

I am a Graduate student at POSTECH. My research/development interests primarily lie in all kinds of big data systems including database systems and distributed systems. I'm also interested in a wide range of data-driven technologies (along with its own system) such as knowledge graphs that may bring revolutionary business insights.

Details about my career are listed in my career website.
I'm also running a personal blog where I occasionally write thoughts on technologies, books, and other stuff.

Projects

To see the complete collection of my projects, please visit academic website > Projects tab. This repository includes some of the project codes.

Contact

Please feel free to get in touch with me. Even trivial ones are always welcome.

Jinho Ko's Projects

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

be131 icon be131

UC Berkeley 2018 Fall BIOENG 131 : Introduction to Computational Molecular and Cellular Biology

bnn-pynq icon bnn-pynq

Quantized Neural Networks (QNNs) on PYNQ

cs434-assign icon cs434-assign

An assignment repository for POSTECH CSED434 Adv. Programming Fall 2020

cs434-project icon cs434-project

A project repository for POSTECH CSED434 Adv. Programming Fall 2020

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deepsense icon deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

dellxps15-9550-osx icon dellxps15-9550-osx

Tutorial for a full working Mac OS Mojave (10.14.x) enviroment on the Dell XPS 15 (9550)

grakn icon grakn

Grakn Core: The Knowledge Graph

kglib icon kglib

Grakn Knowledge Graph Library (ML R&D)

morpheus icon morpheus

Morpheus brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

napkin-math icon napkin-math

Techniques and numbers for estimating system's performance from first-principles

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