attention-various-positional-encoding

This project aims to implement the Scaled-Dot-Product Attention layer and the Multi-Head Attention layer using various Positional Encoding methods.

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-deep-learning-papers

The most cited deep learning papers

awesome-korean-nlp

A curated list of resources for NLP (Natural Language Processing) for Korean

charcnn

This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

counterfactual-statement-classification-and-span-dectection-using-multi-task-stacked-bi-lstms

This project aims to implement the Multi-task-Stacked-Bi-LSTMs applied in detecting the span of the counterfactual statement using ELMo Word Embedding and POS tags.

covid-19-tweets-sentiment-analysis-using-bert

This project aims to implement text classification architecture using pre-trained language model BERT.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

depedency-graph-attention-networks

This project aims to develop dependency-graph-attention-networks in order to represent the dependency relations of each word from given text utilizing masked self-attention. The output of the dependency-graph-attention-networks is the token-level representation of the sum of the token and its dependency.

depedency-graph-convolutional-networks

This project aims to develop dependency graph convolutional networks in order to represent the dependency relations of each word from given text.

everybodytensorflow

fact-checking-on-news-dataset-using-bert

This project aims to implement text classification architecture using pre-trained language model BERT.

gazelle93

My personal repository.

gazelle93.github.io

hirunning

matching-pre-trained-offset-and-preprocessed-offset

This project is to match the offset of the pre-trained word embeddings such as BERT, ELMo, and Glove to the preprocessed token offset and its dependencies in various ways of preprocessing method such as Stanza and Spacy. Therefore, the result of this can be applied to the graph neural networks without concern of its mismatch of the preprocessed token offset and pre-trained result offset.

memn2n-babi-python

End-To-End Memory Networks for bAbI question-answering tasks

multi-speaker-tacotron-tensorflow

Multi-speaker Tacotron in TensorFlow.

multiclass-focal-loss-pytorch

This is an implementation of multi-class focal loss in PyTorch.

nbviewer

Nbconvert as a webservice (rendering ipynb to static HTML)

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

recurrent-networks_lstm-and-gru

This project aims to implement LSTM and GRU.

sentiment-polarity-analysis

This project aims to implement the result of the sentence-level and word-level polarity of a given text.

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

soynlp

한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.

span-detection-using-gnns

This project aims to implement the dependency-graph-convolutional-networks and dependency-graph-attention-networks for span detection from given text.

span-detection-using-lstms

This project aims to implement the LSTM and Bidirectional LSTM for span detection from given text.

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

tensorflow-101

TensorFlow Tutorials