mirror of
https://github.com/Cian-H/symbolic_nn_tests.git
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Cian Hughes
8bf53fb560
Attempt at semantic loss driven by self optimising loss funtion using a random forest regerssor for optimisation of semantic expressions
42 lines
852 B
TOML
42 lines
852 B
TOML
[tool.poetry]
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name = "symbolic-nn-tests"
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version = "0.1.0"
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description = ""
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authors = ["Cian Hughes <chughes000@gmail.com>"]
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license = "MIT"
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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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torch = "^2.3.0"
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lightning = "^2.2.4"
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torchvision = "^0.18.0"
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wandb = "^0.17.0"
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optuna = "^3.6.1"
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setuptools = "^69.5.1"
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gdown = "^5.2.0"
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bpython = "^0.24"
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ipython = "^8.24.0"
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matplotlib-backend-kitty = "^2.1.2"
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euporie = "^2.8.2"
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ipykernel = "^6.29.4"
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tensorboard = "^2.16.2"
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typer = "^0.12.3"
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kaggle = "^1.6.14"
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periodic-table-dataclasses = "^1.0"
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polars = "^0.20.28"
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jupyter = "^1.0.0"
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safetensors = "^0.4.3"
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alive-progress = "^3.1.5"
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hvplot = "^0.10.0"
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pyarrow = "^16.1.0"
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loguru = "^0.7.2"
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plotly = "^5.22.0"
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snoop = "^0.4.3"
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scikit-optimize = "^0.10.2"
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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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