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Hi there! ๐Ÿ‘‹

Eunhwan Park (ๆœดๆฎท็…ฅ)
Seoul, Republic of Korea.
judepark@{jbnu.ac.kr, kookmin.ac.kr}
[email protected]

I am a research engineer at Buzzni, serving my mandatory military service as Technical Research Personnel. I obtained M.S. in Computer Science from Jeonbuk National University (JBNU), where I was fortunate to be advised by Professor Seung-Hoon Na. During my M.S., I interned at NAVER Corporation, one of the biggest companies in the IT area from the Republic of Korea. Prior to JBNU, I obtained a Bachelor of Engineering in Computer Science from Kookmin University in Feb 2021, also completed of first phase certification of Software Maestro 6th from the government of the Republic of Korea in Dec 2015.

For more details, see my publications and CV.

Eunhwan Park's Projects

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

rl-adventure icon rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rlseq2seq icon rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

sentence-representation icon sentence-representation

Advanced Implementation of An Efficient Framework for Learning Sentence Representations using PyTorch

seq2seqdataaugmentationforlu icon seq2seqdataaugmentationforlu

This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.

simple-nmt icon simple-nmt

This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.

simpletransformers icon simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, Multi-Modal, and Conversational AI

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

snp icon snp

Sequential Neural Processes

spanbert icon spanbert

Code for using and evaluating SpanBERT.

tacl icon tacl

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0็‰ˆๅ…ฅ้—จๅฎžไพ‹ไปฃ็ ๏ผŒๅฎžๆˆ˜ๆ•™็จ‹ใ€‚

text_gcn icon text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

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