mirror of
https://github.com/labmlai/annotated_deep_learning_paper_implementations.git
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version
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@ -1,6 +1,6 @@
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torch>=1.7
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torch>=1.7
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labml>=0.4.132
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labml>=0.4.132
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labml-helpers>=0.4.81
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labml-helpers>=0.4.82
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torchvision
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torchvision
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numpy>=1.16.3
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numpy>=1.16.3
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matplotlib>=3.0.3
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matplotlib>=3.0.3
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4
setup.py
4
setup.py
@ -5,7 +5,7 @@ with open("readme.md", "r") as f:
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setuptools.setup(
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setuptools.setup(
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name='labml-nn',
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name='labml-nn',
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version='0.4.110',
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version='0.4.111',
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author="Varuna Jayasiri, Nipun Wijerathne",
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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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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, etc. 🧠",
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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, etc. 🧠",
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@ -21,7 +21,7 @@ setuptools.setup(
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'test',
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'test',
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'test.*')),
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'test.*')),
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install_requires=['labml>=0.4.132',
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install_requires=['labml>=0.4.132',
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'labml-helpers>=0.4.81',
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'labml-helpers>=0.4.82',
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'torch',
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'torch',
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'einops',
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'einops',
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'numpy'],
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'numpy'],
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