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pyproject.toml
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52 lines (48 loc) · 1.29 KB
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[project]
name = "deep-icd-r1"
version = "0.1.0"
description = "Reinforcement learning for prospective ICD-10 clinical coding using GRPO and structured reasoning traces"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.12"
authors = [
]
keywords = ["clinical NLP", "ICD coding", "reinforcement learning", "GRPO", "reasoning", "MIMIC"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
]
dependencies = [
"vllm",
"datasets",
"torch",
"transformers",
"meilisearch",
"wandb",
]
[project.optional-dependencies]
unsloth = ["unsloth"]
evaluate = [
"torchmetrics",
"matplotlib",
"plotly",
]
test = ["pytest"]
trl = ["trl"]
verl = ["verl", "flash-attn"] # highly complex build; use the provided Dockerfile_train
sft = [
"peft>=0.16.0",
"PyYAML>=6.0.2",
]
[project.urls]
Repository = "https://github.com/DATEXIS/DeepICD-R1"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
testpaths = ["test"]