sunghoon014

DGL-tutorial

그래프 딥러닝 라이브러리 DGL 쉽게 배우기

MetaCRS

kss

KSS: Korean String processing Suite

explanation-quality-recsys

Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs

KoAlpaca

KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델

accent

elixir

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ChatGPT

Reverse engineered ChatGPT API

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

MAVE

The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.

NLP_KoreanHateSpeech

한국어 자연어 처리 기술을 이용하여, 온라인 연예 기사 뉴스의 댓글들을 혐오 및 공격성에 따라 hate/offensive/none으로 분류하는 Kaggle 프로젝트

MetaKG

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

DIETClassifier-pytorch

DIET Classifier mini implementation on pytorch.

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

DKGE

This is the source code of DKGE.

MCMIPL

The implementation of Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

MCMIPL

The implementation of Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

DGRCoQA

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

COLD_decoding

SCPR

Interactive Path Reasoning on Graph for Conversational Recommendation

awesome-sushi

🍣 국내 스시 오마카세 맛집 리스트

KBRD

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

KOBE

Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

PyABSA

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

TOIS-PAGE

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling

GTM-Transformer

Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends