kimyuji Goto Github PK
Name: YUJIN KIM
Type: User
Company: KAIST
Bio: MS student in KAIST, Graduate School of AI
Location: Seoul
Name: YUJIN KIM
Type: User
Company: KAIST
Bio: MS student in KAIST, Graduate School of AI
Location: Seoul
Advances in Financial Machine Learning 책에 있는 Chapter 10의 betting size 연습문제를 푼 파일입니다.
서강대학교 전자공학부 인공지능개론 수업 과제
Assignments from the first Korean Big Data club BOAZ _ Visualization & Analysis
빅데이터 분석/시각화
Back-propagatable PnP
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
code associated with ACL 2021 DExperts paper
서강대학교 전자공학부 인공지능개론 수업에서 진행한 EMNIST Challenge 프로젝트를 해결한 파일입니다.
Code and Dataset release of "Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models" (NAACL 2024)
Official Code of "How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation" (ICML Workshop 2022)
KAIST Data Science and AI Lab Internship Program에서 공부한 Graph Embedding and Graph Neural Network 논문 구현 코드입니다.
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Pytorch implementation of various Knowledge Distillation (KD) methods.
mixup: Beyond Empirical Risk Minimization
Naver Sentiment Movie Corpus (네이버 영화리뷰 감성분석) RNN계열/Attention/Transformer/KoBERT
An implementation of PnP-Net model
KAIST Data Science and AI Lab Internship Program에서 공부한 추천시스템 논문 구현 코드입니다.
Pytorch Implementation of Student Friendly Teacher Network (NeurIPS 2021)
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Source and Target Contributions to NMT Predictions".
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.
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.