mirror of
https://github.com/sbrl/research-rainfallradar
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Starbeamrainbowlabs
1a657bd653
It deduplicates lines in the files, with the potential to add the ability to filter on a specific property later. The reasoningf or this is thus: 1. There will naturally be periods of time where nothing happens 2. Too many duplicates will interfere and confuse with the contrastive learning algorithm, as in each batch it will have less variance in samples This is especially important because contrastive learning causes it to compare every item in each batch with every othear item in the batch.
28 lines
753 B
JSON
28 lines
753 B
JSON
{
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"name": "rainfallwrangler",
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"version": "1.0.0",
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"description": "Wrangles rainfall radar and water depth data into something sensible.",
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"main": "src/index.mjs",
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"scripts": {
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"test": "echo \"No tests have been implemented yet\""
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},
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"repository": {
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"type": "git",
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"url": "https://git.starbeamrainbowlabs.com/sbrl/PhD-Rainfall-Radar.git"
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},
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"author": "Starbeamrainbowlabs",
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"license": "GPL-3.0-or-later",
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"dependencies": {
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"@tensorflow/tfjs-node-gpu": "^3.18.0",
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"applause-cli": "^1.8.1",
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"gunzip-maybe": "^1.4.2",
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"nexline": "^1.2.2",
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"p-map": "^5.5.0",
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"p-reflect": "^3.0.0",
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"pretty-ms": "^8.0.0",
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"spawn-stream": "^1.0.2",
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"terrain50": "^1.10.1",
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"workerpool": "^6.2.1"
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}
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}
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