https://github.com/aqibsaeed/entity-embedding-with-lstm-for-time-series

Entity Embedding with LSTM for Time Series
https://github.com/aqibsaeed/entity-embedding-with-lstm-for-time-series

entity-embedding forecasting lstm time-series

Last synced: 4 days ago
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Entity Embedding with LSTM for Time Series

• Host: GitHub
• URL: https://github.com/aqibsaeed/entity-embedding-with-lstm-for-time-series
• Owner: aqibsaeed
• License: mit
• Created: 2020-06-14T19:36:13.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-06-18T18:00:48.000Z (over 4 years ago)
• Last Synced: 2024-05-21T07:49:29.564Z (6 months ago)
• Topics: entity-embedding, forecasting, lstm, time-series
• Language: Jupyter Notebook
• Size: 356 KB
• Stars: 30
• Watchers: 2
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
### Entity Embedding with LSTM for Time-Series

Demonstration of using LSTM for forecasting with structured time-series data, containing categorical and numerical features.  



#### Notebook

Time Series and Entity Embedding Network

#### Dataset

The dataset for air quality estimation (i.e., SO2 Concentration forecasting) is available in this repository.