Soonhwan-Kwon

Soonhwan-Kwon

Geek Repo

Company:NAVER Corp.

Home Page:https://www.linkedin.com/in/soonhwan-kwon-29570691/

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Organizations
ai-adv-lab

Soonhwan-Kwon's starred repositories

nlp_course

YSDA course in Natural Language Processing

Language:Jupyter NotebookLicense:MITStargazers:9579Issues:367Issues:46

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Language:PythonLicense:MITStargazers:9265Issues:178Issues:1063

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Language:PythonLicense:NOASSERTIONStargazers:8529Issues:247Issues:167

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Language:PythonLicense:MITStargazers:6661Issues:175Issues:1441

awesome-crawler

A collection of awesome web crawler,spider in different languages

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

BERT-pytorch

Google AI 2018 BERT pytorch implementation

Language:PythonLicense:Apache-2.0Stargazers:6080Issues:125Issues:87

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Language:PythonLicense:MITStargazers:1779Issues:44Issues:89

CBAM.PyTorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

cnn-watermark-removal

Fully convolutional deep neural network to remove transparent overlays from images

face_segmentation

Deep face segmentation in extremely hard conditions

Language:C++License:Apache-2.0Stargazers:716Issues:45Issues:29

Deep-Learning

A few notebooks about deep learning in pytorch

Language:Jupyter NotebookStargazers:579Issues:26Issues:6

indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

Language:PythonLicense:Apache-2.0Stargazers:515Issues:39Issues:16

HandwritingRecognitionSystem

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Language:PythonLicense:NOASSERTIONStargazers:418Issues:22Issues:19

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

Language:PythonLicense:MITStargazers:418Issues:8Issues:18

pytorch-saltnet

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Language:PythonLicense:MITStargazers:278Issues:10Issues:7

marcap

market cap datasets (1995~2021 daily, 10 million+ rows)

kaggle-competition-solutions

Kaggle competition solutions

Pytorch-Sketch-RNN

a pytorch implementation of https://arxiv.org/abs/1704.03477

Language:PythonLicense:MITStargazers:182Issues:5Issues:7

studio

Component based analytics studio on the web browser

Language:JavaScriptLicense:NOASSERTIONStargazers:181Issues:29Issues:382

SENet.mxnet

:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:

Language:PythonLicense:Apache-2.0Stargazers:154Issues:9Issues:8

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Language:PythonLicense:Apache-2.0Stargazers:137Issues:9Issues:3

IndRNN_pytorch

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

skiprnn_pytorch

A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"

Language:PythonLicense:MITStargazers:80Issues:5Issues:7

FAI-notes

Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)

Language:Jupyter NotebookStargazers:58Issues:4Issues:3

kaggle_2018_data_science_bowl_solution

4th place solution for 2018 Data Science Bowl kaggle competition

2018_datayanolja_webcrawling

2018 데이터야 놀자의 '웹 크롤링 좀 더 잘하기' 세션의 자료입니다.

Language:PythonStargazers:16Issues:2Issues:0

Amazon-Satelite-Image-Labeling

This is my CS 763 Computer Vision Course Project , Here we try to label Amazon Satelite Images. Here we try to implement the Show and Tell Image Captioning Paper .