acl2019-commonsense-reasoning

Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.

action-detection

Action-Net is a dataset containing images of 16 different human actions.

activity-recognition-with-cnn-and-rnn

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

ad_prediction

ai-powered-by-google-s-videobert-

ai-study

AI Study

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

algorithm

allennlp

An open-source NLP research library, built on PyTorch.

animal

WebService Project

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-vision-and-language

A curated list of awesome vision and language resources (still under construction... stay tuned!)

baekjoon

ban-kvqa

Bilinear Attention Networks for Korean Visual Question Answering

ban-vqa

Bilinear attention networks for visual question answering

bert

TensorFlow code and pre-trained models for BERT

bert-korean-model

BERT with SentencePiece for Korean text

bgnn-aaai

blog.conceptnet.io

Generates the ConceptNet blog as a static site.

chatbot

Seq2Seq 모델을 이용한 챗봇

chatbot_seq2seq_extend

Chatbot using Tensorflow (Model is seq2seq) Extend V2.0 ko

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

claf

CLaF: Open-Source Clova Language Framework

clovacall

ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

common-sense-knowledge-extraction

Rule-based common sense knowledge extraction project.

commonsenseqa

Author implementation of the paper "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge"