bbaa2837

bbaa2837.github.io

bbaa2837.github.io-eth

cs550_loc

Deep-Survey-Text-Classification

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

embedded_project

ewhafestival_ver17

git-training

:checkered_flag: Don't think about git, just do git

mutation2019

RealRails_0707

sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

bbaa2837/bbaa2837.github.io

bbaa2837/bbaa2837.github.io-eth

bbaa2837/cs550_loc

bbaa2837/Deep-Survey-Text-Classification

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

bbaa2837/embedded_project

bbaa2837/ewhafestival_ver17

bbaa2837/git-training

:checkered_flag: Don't think about git, just do git

bbaa2837/mutation2019

bbaa2837/RealRails_0707

bbaa2837/sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

bbaa2837/shinchon_hackaton