1chic Goto Github PK
Name: WONSIK JEONG
Type: User
Company: MyMusicTate
Bio: Data Analyst
Location: Seoul
WONSIK JEONG's Projects
adv-r
Advanced R: a book 의 한국어 번역 프로젝트
coco
MS COCO API (fork with fix for Python3)
colab-mask-rcnn
How to run Object Detection and Segmentation on a Video Fast for Free
coling2018
data and code for coling2018 paper
commonsenseerl_emnlp_2019
Code for the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.
deepface
Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow
doit_r
<Do it! 쉽게 배우는 R 데이터 분석> 저장소
event-embedding-multitask
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
everybodydancenow_reproduce_pytorch
Everybody dance now reproduced in pytorch
han
TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018
keras_realtime_multi-person_pose_estimation
Keras version of Realtime Multi-Person Pose Estimation project
mask_rcnn
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
pix2pixhd
Synthesizing and manipulating 2048x1024 images with conditional GANs
promotionimpact
R package for promotion effect analysis
pytorch-everybodydancenow
Implementation of Everybody Dance Now by pytorch
pytorch-tutorials-kr
🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean.)
pytorch-yolov3
Minimal PyTorch implementation of YOLOv3
pytorch_realtime_multi-person_pose_estimation
This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
realtime_multi-person_pose_estimation
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
stocknet-code
Code for stock movement prediction from tweets and historical stock prices.
study-group
R Korea Study Group
tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
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