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}
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    Mart\'{i}n~Abadi and
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} 
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	title = {{The Go Programming Language}},
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	title = {{An overview of AI and machine learning services from AWS}},
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}
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}
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}
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}
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  keywords={Manifolds;Neural networks;Computer architecture;Standards;Computational modeling;Task analysis},
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}
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	title = {{Svelte {\ifmmode\bullet\else\textbullet\fi} Cybernetically enhanced web apps}},
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}
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}
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title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
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pages = {8024--8035},
year = {2019},
publisher = {Curran Associates, Inc.},
url = {http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf}
} 
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	title = {{PyTorch vs TensorFlow: Deep Learning Frameworks [2024]}},
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	month = apr,
	publisher = {News, Tutorials, AI Research},
	url = {https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2023}
}
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  title={The ArtBench Dataset: Benchmarking Generative Models with Artworks},
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  year={2022}
}
https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2023/
https://www.knowledgehut.com/blog/data-science/pytorch-vs-tensorflow
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}