Keytoyze/VisionTS
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".
This project helps you accurately predict future trends in your data without extensive training. It takes raw time series data, like sales figures or sensor readings, and outputs precise forecasts. Anyone who needs to make data-driven decisions based on future predictions, such as business analysts, operations managers, or financial planners, would find this tool valuable.
275 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly and accurately forecast future values from historical time series data without needing to fine-tune complex models.
Not ideal if your primary goal is to perform multi-channel or probabilistic forecasting without leveraging the VisionTS++ model.
Stars
275
Forks
23
Language
Python
License
MIT
Category
Last pushed
Aug 13, 2025
Commits (30d)
0
Dependencies
7
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