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setup.py
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48 lines (46 loc) · 1.74 KB
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from setuptools import setup, find_packages
with open("README.md", "r") as source:
long_description = source.read()
setup(
name="protnote",
version="1.0.0",
author="Samir Char & Nate Corley",
packages=find_packages(),
include_package_data=True,
description="ProtNote: a multimodal method for protein-function annotation",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/microsoft/ProteinFunctions", #TODO: Change repo name
install_requires=[
"torch==2.2.0", # PyTorch
"torchvision==0.15.2", # TorchVision
# "pytorch-cuda==11.8", #PyTorch CUDA
"pandas==1.5.2", # Pandas
"joblib==1.2.0", # Joblib
"transformers==4.38.0", # Huggingface Transformers
"torchmetrics==1.2.0", # PyTorch metrics
"torchdata==0.7.1", # PyTorch Data
"wandb==0.15.11", # Weights and Biases
"sacremoses==0.0.53", # Tokenizer
"pynvml==11.5.0", # Nvidia management library
"torcheval==0.0.7", # PyTorch evaluation
"wget==3.2", # wget
"azureml-mlflow==1.53.0", # Azure MLflow
"loralib==0.1.2", # LoRA library
"tensorboard==2.15.1", # Tensorboard
"obonet==1.0.0", # OBO ontologies
"blosum==2.0.2", # BLOSUM scoring matrices
"biopython==1.84", # Biopython for bioinformatics
"ipykernel==6.29.5", #Jupyter notebook
"scipy==1.13.1", # Viz
"seaborn==0.13.2", # Viz
"scikit-learn==1.5.0",
"matplotlib==3.9.2", # Viz
"umap-learn==0.5.4" # Viz
],
classifiers=[
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
],
python_requires=">=3.10",
)