chore: import upstream snapshot with attribution
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import setuptools
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with open("readme.md", "r", encoding="utf-8") as f:
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long_description = f.read()
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setuptools.setup(
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name='labml_nn',
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version='0.5.1',
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author="Varuna Jayasiri, Nipun Wijerathne",
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author_email="vpjayasiri@gmail.com, hnipun@gmail.com",
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description="🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/labmlai/annotated_deep_learning_paper_implementations",
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project_urls={
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'Documentation': 'https://nn.labml.ai'
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},
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packages=setuptools.find_packages(exclude=('labml', 'labml.*',
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'labml_samples', 'labml_samples.*',
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'labml_helpers', 'labml_helpers.*',
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'test',
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'test.*')),
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install_requires=['labml',
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'torch',
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'torchtext',
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'torchvision',
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'einops',
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'numpy',
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'fairscale'],
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering :: Mathematics',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Software Development',
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'Topic :: Software Development :: Libraries',
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'Topic :: Software Development :: Libraries :: Python Modules',
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],
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keywords='machine learning',
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)
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