timetoai/TimeDiffusion
Unified Framework for Multiple Time Series Tasks
This framework helps data scientists and researchers analyze time-series data for various tasks. You can input historical time-series data to forecast future values, generate realistic synthetic datasets, or fill in missing information within existing sequences. It provides a unified approach for handling challenging time-series problems, especially when data is scarce.
No commits in the last 6 months. Available on PyPI.
Use this if you need a flexible tool to forecast, synthesize, or impute missing data in time series, particularly when working with limited historical observations.
Not ideal if you prefer traditional, computationally simple models for time series analysis and are not working with deep learning approaches.
Stars
29
Forks
2
Language
Python
License
MIT
Category
Last pushed
Oct 13, 2023
Commits (30d)
0
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