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Changwon National University
- Changwon, South Korea
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12:08
(UTC +09:00) - https://sites.google.com/view/sungchulhong
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A package for the comprehensive evaluation of synthetic tabular datasets.
Collection of academic papers, articles, software tools, and educational resources about forecast reconciliation
ProbTS is a benchmarking toolkit for time series forecasting.
Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
end-to-end demand forecasting and inventory optimization with Databricks
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)
A python library for user-friendly forecasting and anomaly detection on time series.
Code of 'Event Traffic Forecasting with Sparse Multimodal Data', MM24
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
FNSPID: A Comprehensive Financial News Dataset in Time Series
[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (l…
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph f…
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the pur…
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
The Building TimeSeries (BTS) dataset covers three buildings over a three-year period, comprising more than ten thousand timeseries data points with hundreds of unique ontologies. Moreover, the me…
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
Script to download data from MERRA-2 database based on lat/lon coordinates
Evaluation Tool for Anomaly Detection Algorithms on Time Series