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A model to predict water depth data from rainfall radar information.
https://github.com/sbrl/research-rainfallradar
Starbeamrainbowlabs
c0a9cb12d8
it's not hooked up to the CLI yet though. Focus is still on ensuring the dataset is in the right format though |
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.vscode | ||
aimodel | ||
rainfallwrangler | ||
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LICENSE | ||
README.md |
Rainfall Radar
A model to predict water depth data from rainfall radar information.
This is the 3rd major version of this model.
rainfallwrangler
rainfallwrangler
is a Node.js application to wrangle the dataset into something more appropriate for training an AI efficiently. The rainfall radar and water depth data are considered temporally to be regular time steps. Here's a diagram explaining the terminology:
NOW
│ │ │Water depth
│▼ Rainfall Radar Data ▼│[Offset] │▼
├─┬─┬─┬─┬─┬─┬─┬─┬─┬─┬─┬─┼─┬─┬─┬─┬─┼─┐
│ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │
│ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │
│ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │
│ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │
└─┴─┴─┴─┴─┴─┴─┴─┴─┴─┴─┴─┼─┴─┴─┴─┴─┴─┘
│
◄────────── Timesteps ─────────────►
Note to self: 150.12 hashes/sec on i7-4770 4c8t, ???.?? hashes/sec on Viper compute