KasperGroesLudvigsen/influenza_transformer
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
This is a reference implementation for data scientists and machine learning engineers working on time series forecasting. It helps you build a Transformer model in PyTorch to predict future values based on historical sequential data. You provide your time series data, and it outputs a trained model capable of making predictions.
261 stars. No commits in the last 6 months.
Use this if you are a machine learning developer looking to implement or understand a Transformer model for time series forecasting in PyTorch.
Not ideal if you are looking for an out-of-the-box solution for forecasting without writing code.
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261
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80
Language
Python
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Last pushed
Oct 18, 2022
Commits (30d)
0
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