https://github.com/jbris/time-series-online-data-assimilation-experiments

Experiments for online learning and data assimilation for time series data.
https://github.com/jbris/time-series-online-data-assimilation-experiments

data-assimilation data-assimilation-enkf data-fusion ensemble-kalman-filter extended-kalman-filter extended-kalman-filters kalman-filter online-learning online-learning-algorithms particle-filter particle-filtering particle-filters time-series time-series-analysis time-series-forecasting time-series-prediction unscented-kalman-filter unscented-kalman-filtering

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Experiments for online learning and data assimilation for time series data.

• Host: GitHub
• URL: https://github.com/jbris/time-series-online-data-assimilation-experiments
• Owner: JBris
• License: mit
• Created: 2023-12-15T08:16:44.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-09T13:31:37.000Z (11 months ago)
• Last Synced: 2024-02-10T01:11:30.379Z (11 months ago)
• Topics: data-assimilation, data-assimilation-enkf, data-fusion, ensemble-kalman-filter, extended-kalman-filter, extended-kalman-filters, kalman-filter, online-learning, online-learning-algorithms, particle-filter, particle-filtering, particle-filters, time-series, time-series-analysis, time-series-forecasting, time-series-prediction, unscented-kalman-filter, unscented-kalman-filtering
• Language: Jupyter Notebook
• Homepage: https://jbris.github.io/time-series-online-data-assimilation-experiments/
• Size: 24.9 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# time-series-online-data-assimilation-experiments

Experiments for online learning and data assimilation for time series data.