initial work for elpv and subter datasets
elpv as example dataset/implementation subter with final dataset
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30
Deep-SAD-PyTorch/pyproject.toml
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30
Deep-SAD-PyTorch/pyproject.toml
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[tool.poetry]
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name = "deep-sad-pytorch"
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version = "0.1.0"
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description = ""
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authors = ["Your Name <you@example.com>"]
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readme = "README.md"
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[tool.poetry.dependencies]
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python = "^3.11"
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click = "^8.1.7"
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matplotlib = "^3.9.0"
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numpy = "^2.0.0"
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pandas = "^2.2.2"
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cvxopt = "^1.3.2"
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cycler = "^0.12.1"
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joblib = "^1.4.2"
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kiwisolver = "^1.4.5"
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pillow = "^10.3.0"
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pyparsing = "^3.1.2"
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python-dateutil = "^2.9.0.post0"
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pytz = "^2024.1"
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scikit-learn = "^1.5.0"
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scipy = "^1.14.0"
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seaborn = "^0.13.2"
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six = "^1.16.0"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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