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Statistical Data Science, University of Seoul
- Seoul, Korea
- https://sites.google.com/view/an-seunghwan
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Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost
Package implementing various parametric and nonparametric methods for conditional density estimation
This repository is the official implementation of Cryptocurrency Price Forecasting using Variational AutoEncoder with Versatile Quantile Modeling (CIKM, 2024).
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Practical course about Large Language Models.
Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023
Missing value imputation using Gaussian copula
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
A framework for prototyping and benchmarking imputation methods
An implementation of local windowed attention for language modeling
Towards understanding modern generative data augmentation techniques.
This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
A diffusion-based framework for spatio-temporal point processes
Paper lists for Temporal Point Process
KorQuAD Korean domain Question Generation module based on KoBART
Differentiable DAG Sampling (ICLR 2022)
A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.
A library for efficient similarity search and clustering of dense vectors.
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
Tutorial for how to build BERT from scratch