Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-scientific-machine-learning

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
https://github.com/MartinuzziFrancesco/awesome-scientific-machine-learning

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`arxiv`
`pub` - MIT/StiffNeuralODE) Kim, Suyong, Weiqi Ji, Sili Deng, Yingbo Ma, and Christopher Rackauckas _Chaos: An Interdisciplinary Journal of Nonlinear Science 31, no. 9 (2021): 093122_
`pub` - nn) Greydanus, Samuel, Misko Dzamba, and Jason Yosinski _Advances in neural information processing systems 32 (2019)._
`pub` - neural-odes) Dupont, Emilien, Arnaud Doucet, and Yee Whye Teh _Advances in Neural Information Processing Systems 32 (2019)._
`arxiv`
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`arxiv` - lstms) Lechner, Mathias, and Ramin Hasani _arXiv preprint arXiv:2006.04418 (2020)._
`pub` - kidger/NeuralCDE) Kidger, Patrick, James Morrill, James Foster, and Terry Lyons _Advances in Neural Information Processing Systems 33 (2020): 6696-6707._
`arxiv`
`pub` - 707_
`pub` - 1000._
`pub` - A2626._
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`pub` - B1132._
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`arxiv`
`pub` - 229._
`pub` - informed-DeepONets) Wang, Sifan, Hanwen Wang, and Paris Perdikaris _Science advances 7, no. 40 (2021): eabi8605._
`arxiv`
`pub` - 3937._
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Scientific Machine Learning (Sciml) - comprehensive list of the packages provided, for a full description please check out their website.
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Pytorch
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Jax
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Tensorflow
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`profile` - Driven Science and Engineering, and Physics Informed Machine Learning._
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`page` - 2019/01/30
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