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54 lines (50 loc) · 1.3 KB
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[project]
name = "neuralmpm"
version = "0.1.0"
requires-python = ">= 3.10"
description = "Neural Material Point Method"
authors = [
{name = "Omer Rochman", email = "o.rochman@uliege.be"},
{name = "Sacha Lewin", email = "sacha.lewin@uliege.be"},
]
classifiers = [
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
]
license = {file = "LICENSE"}
readme = "README.md"
dependencies = [
"dawgz==1.0.4",
"h5py==3.12.1",
"imageio==2.37.0",
"jax[cuda12]",
"matplotlib==3.10.3",
"moviepy==1.0.3",
"natsort==8.4.0",
"numpy==1.26.4",
"ott-jax",
"torch==2.5.1",
"torchvision==0.20.1",
"tqdm==4.67.1",
"wandb==0.17.1",
]
[project.optional-dependencies]
geom = [
"torch_geometric==2.6.1",
"torch_cluster==1.6.3",
"torch_scatter==2.1.2",
]
[project.urls]
documentation = "https://github.com/OmerRochman/NeuralMPM"
[tool.setuptools.packages.find]
include = ["neuralmpm"]
[project.scripts]
nmpm-train = "neuralmpm.scripts.train:main"
nmpm-exp = "neuralmpm.scripts.experiment:main"
nmpm-render = "neuralmpm.scripts.render:main"
nmpm-rollout = "neuralmpm.scripts.rollout:main"
nmpm-eval = "neuralmpm.scripts.eval:main"
nmpm-stats = "neuralmpm.scripts.stats:main"