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Name: eunkyeong
Type: User
Company: Intelligent Bigdata Lab. UOS
Bio: 연구분야 : NLP, Graph(Recommandation), RL
Location: Seoul
Name: eunkyeong
Type: User
Company: Intelligent Bigdata Lab. UOS
Bio: 연구분야 : NLP, Graph(Recommandation), RL
Location: Seoul
The PyTorch implementation of LightGCN
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
Apache Lucene open-source search software
실습을 위한 MBTI data
An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
Expanding natural instructions
NeMo: a toolkit for conversational AI
NeMo Megatron launcher and tools
한국어 개체명 정의 및 표지 표준화 기술보고서와 이를 기반으로 제작된 개체명 형태소 말뭉치
PyTorch Implementation for Neural Graph Collaborative Filtering
NLI evaluation for NLG
NLP Shared tasks (NER, SRL) using NSML
NLP 관련 논문들을 리뷰하고 해당 코드를 구현하는 repository 입니다.
Data augmentation for NLP
Implementation of the node2vec algorithm.
Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation, ICCV 2021
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
언어모델을 학습하기 위한 공개 한국어 instruction dataset들을 모아두었습니다.
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Baseline code for Korean open domain question answering(ODQA)
Parallel dataset of Korean Questions and Commands
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Must-read papers on prompt-based tuning for pre-trained language models.
Toolkit for creating, sharing and using natural language prompts.
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
PyTorch implementation of PSPNet segmentation network
프로그래밍 대회에서 배우는 알고리즘 문제 해결 전략 in Python
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.