heojae

-Fake-News-Detection-

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

AR_RoomEscape2

CartoonizedGanAPI

CartoonizedGan 을 대상으로 Flask 를 활용하여, model 을 API 화 합니다.

CartoonizedGanExport

cycle gan 을 기반으로 학습한 모델을 대상으로 필요한 부분만 추출하고, torch jit 를 통해서 필요로한 부분만 추출하는 방법을 정리해놓은 Repo 입니다.

DDD-gift-kotlin

공부용

DDD-order-kotlin

공부용 (just for study)

DjangoCICDTest

단순히 공부하기 위해서 만든 레포입니다.

EasyOCR

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

FaceDetect

FoodImageRotationAdmin

Food Image Rotation (음식이미지 회전) 이라는 주제에 대해서. 실제로 딥러닝(deeplearning)을 어떻게 도입하고, 이를 API(backend)로서 서버에 올리며, 웹(frontend) 를 통해서 올리는 과정을 구현하기 위해서 만든 프로젝트입니다.

heojae/CartoonizedGanAPI

CartoonizedGan 을 대상으로 Flask 를 활용하여, model 을 API 화 합니다.

heojae/CartoonizedGanExport

cycle gan 을 기반으로 학습한 모델을 대상으로 필요한 부분만 추출하고, torch jit 를 통해서 필요로한 부분만 추출하는 방법을 정리해놓은 Repo 입니다.

heojae/-Fake-News-Detection-

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

heojae/AR_RoomEscape2

heojae/DDD-gift-kotlin

공부용

heojae/DDD-order-kotlin

공부용 (just for study)

heojae/DjangoCICDTest

단순히 공부하기 위해서 만든 레포입니다.

heojae/EasyOCR

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

heojae/FaceDetect

heojae/FoodImageRotationAdmin

Food Image Rotation (음식이미지 회전) 이라는 주제에 대해서. 실제로 딥러닝(deeplearning)을 어떻게 도입하고, 이를 API(backend)로서 서버에 올리며, 웹(frontend) 를 통해서 올리는 과정을 구현하기 위해서 만든 프로젝트입니다.

heojae/Fake-News-Detection-1

CS671 : Introduction to Natural Language Processing Project

heojae/final_tab

heojae/madcamp2Project

heojae/madcamp3Project

heojae/MadCamp_week4

heojae/madcampProj1

heojae/Mine_test3

heojae/prography-6th-deep-heojae

이 레포는 프로그라피 딥러닝 부분 과제를 업로드를 위한 레포입니다.

heojae/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

heojae/stargan

Official PyTorch Implementation of StarGAN - CVPR 2018

heojae/test_tab1