TorchMetrics - Measuring Reproducibility in PyTorch

Python Submitted 17 December 2021Published 11 February 2022
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Authors

Nicki Skafte Detlefsen (0000-0002-8133-682X), Jiri Borovec (0000-0001-7437-824X), Justus Schock (0000-0003-0512-3053), Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, William Falcon

Citation

Detlefsen et al., (2022). TorchMetrics - Measuring Reproducibility in PyTorch. Journal of Open Source Software, 7(70), 4101, https://doi.org/10.21105/joss.04101

@article{Detlefsen2022, doi = {10.21105/joss.04101}, url = {https://doi.org/10.21105/joss.04101}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {70}, pages = {4101}, author = {Nicki Skafte Detlefsen and Jiri Borovec and Justus Schock and Ananya Harsh Jha and Teddy Koker and Luca Di Liello and Daniel Stancl and Changsheng Quan and Maxim Grechkin and William Falcon}, title = {TorchMetrics - Measuring Reproducibility in PyTorch}, journal = {Journal of Open Source Software} }
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python deep learning pytorch

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ISSN 2475-9066