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Dongwon Paek | underflow101

Current Interest: AI Model Compression/Acceleration, LLM, RecSys, Computer Vision, Go, Rust

NAVER ENGINEERING DAY 2023 Presenter

YouTube Link
NAVER D2 Homepage Link
Facebook Link
LinkedIn Link
NAVER TV Link
X(Twitter) Link

SOSCON 2020 Session Presenter

Link (Expired, but leave it for my reminiscence)

Currently working on SAMSUNG SOS Masters MASTER level
(Link has been also expired, but leave it for my reminiscence)

2020.07.23 : Applied as Toddler Level      
2020.08.03 : Achieved First Walker Level
2020.08.14 : Achieved First Runner Level
2020.10.30 : Achieved First Master Level

Favorite Quote : If you want to create something, you must start over again: sudo rm -rf /

Feel free to follow me or ask any questions: [E-mail] [email protected]

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Dongwon Paek's Projects

one icon one

On-device Neural Engine

openchat icon openchat

Easy to use opensource chatting framework via neural networks

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pyspark icon pyspark

PySpark repository for my own studying

qa-dataset-converter icon qa-dataset-converter

Code from the paper "What do Models Learn from Question Answering Datasets?" (EMNLP 2020)

rexnet-keras icon rexnet-keras

Unofficial tf.keras implementation of ReXNetV1 by NAVER Clova AI Team.

rexnet-torch icon rexnet-torch

Repository of NAVER Clova AI's ReXNet in practical manner for my own study

sos-practice icon sos-practice

Make open sources friendlier, Make people participate, Make people get involved into SOS.

state_machine_c icon state_machine_c

A feature-rich, yet simple finite state machine (FSM) implementation in C

state_machine_cpp icon state_machine_cpp

A compact C++ finite state machine (FSM) implementation that's easy to use on embedded and PC-based systems.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tflite icon tflite

Tensorflow Lite sources for my own studying

til icon til

Today I Learned: Something I can look back on when I'm confused

tinyengine icon tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

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