Sungchul Hong's repositories
time-series-forecasting
Tutorial repository for time series forecasting models
efficient-adversarial-augmentation
Efficient Adversarial Augmentation for Graph Classification
Awesome-SSL4TS
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
AIConference2024
Key Dates of AI and Data Mining Conferences in 2024
awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
awesome-public-datasets
A topic-centric list of HQ open datasets.
benchmark_VAE
Library for Variational Autoencoder benchmarking
Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
deep-hedging
Deep hedging
marcap
market cap datasets (1995~2021 daily, 10 million+ rows)
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
policy-gradient-method
DRL based on policy gradient method
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
Time-Series-Library
A Library for Advanced Deep Time Series Models.
Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
treevae
Tree Variational Autoencoders pytorch implementation
TrendClustering
Clustering for Regional Time Trend in the Nonstationary Extreme Distribution
VAEs
Implementations of various VAE papers with tensorflow 2.0 or pytorch.