Temporal Variate Mixing
TVMixer is a powerful tool for temporal data analysis that incorporates variate mixing techniques to enhance model performance across time-series forecasting tasks. This project aims to provide efficient and accurate time-series predictions by leveraging advanced temporal modeling techniques.
- Temporal Variate Mixing: Applies variate dimension mixing to improve prediction accuracy by capturing complex temporal relationships.
- Scalability: Incorporates multi-scale temporal pattern analysis.
Make sure to install the required Python packages and then run the code with the following commands:
pip install -r requirements.txt
bash ./TVMixer.sh