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add pyproject.toml
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aimodel/pyproject.toml
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55
aimodel/pyproject.toml
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[project]
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name = "research-rainfallradar"
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description = "A model to predict water depth data from rainfall radar information"
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readme = "../README.md"
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version = "1.0"
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licennse = { text = "AGPL-3.0" }
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keywords = [ "rainfall-radar", "water-depth-prediction", "deep-learning", "deeplabv3+", "image-segmentation", "hydrological-modeling", "flood-forecasting", "ai", "machine-learning", "tensorflow" ]
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classifiers = [
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"License :: OSI Approved :: GNU Affero General Public License v3",
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"Development Status :: 4 - Beta",
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"Intended Audience :: Science/Research",
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"Intended Audience :: Meterologists",
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"Environment :: Console",
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"Environment :: GPU",
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"Operating System :: POSIX",
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"Operating System :: POSIX :: Linux",
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"Topic :: Scientific/Engineering",
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"Topic :: Scientific/Engineering :: GIS",
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"Topic :: Scientific/Engineering :: Atmospheric Science",
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"Topic :: Scientific/Engineering :: Artificial Intelligence"
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]
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authors = [
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{ name = "Starbeamrainbowlabs", email = "sbrl@starbeamrainbowlabs.com" }
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]
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maintainers = [
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{ name = "Starbeamrainbowlabs", email = "sbrl@starbeamrainbowlabs.com" }
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]
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requires-python = ">= 3.10"
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dependencies = [
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"tensorflow>=2.4",
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# "tensorflow_addons",
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"keras_cv",
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"silence_tensorflow",
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"loguru",
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"umap-learn[plot]",
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"seaborn",
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"matplotlib",
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"numpy",
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"pandas"
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]
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[project.urls]
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Homepage = "https://github.com/sbrl/research-rainfallradar"
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Documentation = "https://github.com/sbrl/research-rainfallradar"
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Repository = "https://github.com/sbrl/research-rainfallradar"
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Issue = "https://github.com/sbrl/research-rainfallradar/issues"
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Changelog = "https://github.com/sbrl/research-rainfallradar/releases"
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[project.scripts]
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rr = "src.deeplabv3_plus_test_rainfall"
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1692
aimodel/uv.lock
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1692
aimodel/uv.lock
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