[IJCAI 2025] Official implementation of "T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models"
Diffusion model for time series generation and time series decomposition through wavelet transform. Implementation of progressive distillation on the trained models for lower sampling time
FourierFlow is a tool for generating synthetic financial time series data using deep generative models. This modified version is utilized for the Market Scenario Generator Hackathon: From Stability to Storms. It aims to provide effective synthetic data generation to model different financial scenarios.
A novel approach, named SamplerGAN, for generating high-quality labeled data
Python scripts to use the Azure SDKs, plus a few general machine learning and related scripts.
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