jaylee07
Assistant Professor @ Dept of AI, Bigdata & Management, Kookmin University
Kookmin UniversitySeoul, Korea
jaylee07's Stars
3b1b/manim
Animation engine for explanatory math videos
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ctgk/PRML
PRML algorithms implemented in Python
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
awslabs/gluonts
Probabilistic time series modeling in Python
poole/hyde
A brazen two-column theme for Jekyll.
Beomi/KoAlpaca
KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
lovit/soynlp
한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.
Mcompetitions/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
dglai/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020
Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Jhy1993/Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
eltonlaw/impyute
Data imputations library to preprocess datasets with missing data
fatosmorina/machine-learning-exams
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
kearnz/autoimpute
Python package for Imputation Methods
xiangyue9607/BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
apple2373/metapath2vec
OpenIDEA-YunanUniversity/ycimpute
A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....
udacity/nd320-c3-3d-med-imaging
lovit/python_ml4nlp
패스트캠퍼스 자연어처리를 위한 머신러닝 실습 자료실
fingeredman/text-mining-for-practice
파이썬 라이브러리를 활용해 텍스트 분석을 수행하는 방법에 대해 다룹니다.
pilsung-kang/R-for-Data-Analytics
Course homepage of "Programming Language for Data Analytics" @Korea University
pilsung-kang/machine-learning-with-R
Machine Learning with R @FASTCAMPUS