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setup.cfg
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setup.cfg
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[metadata]
name = pytagi
description = Tractable Approximate Gaussian Inference
long_description = cuTAGI is an open-source Bayesian neural networks library that is based on Tractable Approximate Gaussian Inference (TAGI) theory
author = Luong-Ha Nguyen and James-A. Goulet
author_email = [email protected], [email protected]
url = https://github.com/lhnguyen102/cuTAGI
license = MIT
classifers =
Development Status :: Alpha
Intended Audience :: Developers
Topic :: Scientific/Engineering :: Probabilistic Deep Neural Networks
Programming Language :: C++
Programming Language :: CUDA
Programming Language :: Python :: 3 :: Only
License :: MIT License
keywords =
Bayesian
Neural Networks
Machine Learning
Tractability
C++11
CUDA
project_urls =
Download_url = https://github.com/lhnguyen102/cuTAGI
[options]
python_requires = >=3.10
include_package_data = True
packages=find:
[options.packages.find]
exclude =
test
test.*
examples
examples.*
save_param
save_param.*
saved_results
saved_results.*
data
data.*
__pycache__
__pycache__.*
[options.package_data]
pytagi = version.txt
pytagi_data =
LICENSE
README.md
pyproject.toml
setup.py
setup.cfg
*.cmake