zqiao11/MSFT
Multi-scale Finetuning for Encoder-based Time Series Foundation Models
This tool helps researchers and data scientists working with time series data to improve the accuracy of their forecasting models. It takes pre-existing time series foundation models and specific datasets, then applies a multi-scale fine-tuning process to produce more effective forecasting models. This is ideal for those who need to make precise predictions based on historical sequences, like financial trends or energy consumption.
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Use this if you are a researcher or data scientist looking to enhance the predictive power of time series foundation models for specific forecasting tasks by addressing scale differences in your data.
Not ideal if you are a business user without a background in machine learning or if you need a plug-and-play solution without fine-tuning existing models.
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13
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1
Language
Python
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Category
Last pushed
Sep 23, 2025
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