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Releases: comp-physics/roseNNa

RoseNNa v0.3

17 Nov 16:46
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RoseNNa v0.2

09 Jun 23:37
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Full Changelog: v0.1...v0.2

roseNNa v0.1

18 Nov 14:02
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This is the first public release of roseNNA. roseNNA is a fast, portable, and minimally-intrusive library for neural network inference. Its intended use case is large Fortran- and C-based HPC codebases. roseNNa currently supports RNNs, CNNs, and MLPs, though more architectures are in the works. The library is optimized Fortran and outperforms PyTorch (by a factor between 2 and 5x) for the relatively small neural networks used in physics applications, like CFD.