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Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + http://joss.theoj.org + + + + + 07 + 2019 + + + 4 + + 39 + + + + Fireworks: Reproducible Machine Learning and Preprocessing with PyTorch + + + + Saad + Khan + http://orcid.org/0000-0003-4686-4923 + + + Libusha + Kelly + + + + 07 + 21 + 2019 + + + 1478 + + + 10.21105/joss.01478 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + https://doi.org/10.5281/zenodo.3339548 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/1478 + + + + 10.21105/joss.01478 + http://joss.theoj.org/papers/10.21105/joss.01478 + + + http://www.theoj.org/openjournals/joss-papers/joss.01478/10.21105.joss.01478.pdf + + + + + + Automatic Differentiation in PyTorch, Paszke, Adam and Gross, Sam and Chintala, Soumith and Chanan, Gregory and Yang, Edward and DeVito, Zachary and Lin, Zeming and Desmaison, Alban and Antiga, Luca and Lerer, Adam, NIPS Autodiff Workshop, 2017 + + + TensorFlow: Large-Scale machine learning on heterogeneous systems, https://www.tensorflow.org/, Software available from tensorflow.org, Martı́n Abadi and Ashish Agarwal and Paul Barham and Eugene Brevdo and Zhifeng Chen and Craig Citro and Greg S. Corrado and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Ian Goodfellow and Andrew Harp and Geoffrey Irving and Michael Isard and Jia, Yangqing and Rafal Jozefowicz and Lukasz Kaiser and Manjunath Kudlur and Josh Levenberg and Dandelion Mané and Rajat Monga and Sherry Moore and Derek Murray and Chris Olah and Mike Schuster and Jonathon Shlens and Benoit Steiner and Ilya Sutskever and Kunal Talwar and Paul Tucker and Vincent Vanhoucke and Vijay Vasudevan and Fernanda Viégas and Oriol Vinyals and Pete Warden and Martin Wattenberg and Martin Wicke and Yuan Yu and Xiaoqiang Zheng, 2015 + + + McKinney, Wes, Proceedings of the 9th Python in Science Conference, van der Walt, Stéfan and Millman, Jarrod, 51–56, Data Structures for Statistical Computing in Python, 2010 + + + 10.1145/2934664 + + + Scikit-learn: Machine Learning in Python, Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E., Journal of Machine Learning Research, 12, 2825–2830, 2011 + + + Kubeflow, \urlhttps://www.kubeflow.org/, 2019, jan, 1 + + + + + + From 704ddc90cadbc2f6ac17db557d417cf4ae144cf8 Mon Sep 17 00:00:00 2001 From: I'm Whedon Date: Sun, 21 Jul 2019 10:34:44 -0400 Subject: [PATCH 3/4] Deleting 10.21105.joss.01478.crossref.xml --- joss.01478/10.21105.joss.01478.crossref.xml | 106 -------------------- 1 file changed, 106 deletions(-) delete mode 100644 joss.01478/10.21105.joss.01478.crossref.xml diff --git a/joss.01478/10.21105.joss.01478.crossref.xml b/joss.01478/10.21105.joss.01478.crossref.xml deleted file mode 100644 index 7e940e3ec2..0000000000 --- a/joss.01478/10.21105.joss.01478.crossref.xml +++ /dev/null @@ -1,106 +0,0 @@ - - - - 2b8633e678d14a6408889bb46bb46343 - 20190721143300 - - JOSS Admin - admin@theoj.org - - The Open Journal - - - - - Journal of Open Source Software - JOSS - 2475-9066 - - 10.21105/joss - http://joss.theoj.org - - - - - 07 - 2019 - - - 4 - - 39 - - - - Fireworks: Reproducible Machine Learning and Preprocessing with PyTorch - - - - Saad - Khan - http://orcid.org/0000-0003-4686-4923 - - - Libusha - Kelly - - - - 07 - 21 - 2019 - - - 1478 - - - 10.21105/joss.01478 - - - http://creativecommons.org/licenses/by/4.0/ - http://creativecommons.org/licenses/by/4.0/ - http://creativecommons.org/licenses/by/4.0/ - - - - Software archive - https://doi.org/10.5281/zenodo.3339548 - - - GitHub review issue - https://github.com/openjournals/joss-reviews/issues/1478 - - - - 10.21105/joss.01478 - http://joss.theoj.org/papers/10.21105/joss.01478 - - - http://www.theoj.org/openjournals/joss-papers/joss.01478/10.21105.joss.01478.pdf - - - - - - Automatic Differentiation in PyTorch, Paszke, Adam and Gross, Sam and Chintala, Soumith and Chanan, Gregory and Yang, Edward and DeVito, Zachary and Lin, Zeming and Desmaison, Alban and Antiga, Luca and Lerer, Adam, NIPS Autodiff Workshop, 2017 - - - TensorFlow: Large-Scale machine learning on heterogeneous systems, https://www.tensorflow.org/, Software available from tensorflow.org, Martı́n Abadi and Ashish Agarwal and Paul Barham and Eugene Brevdo and Zhifeng Chen and Craig Citro and Greg S. Corrado and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Ian Goodfellow and Andrew Harp and Geoffrey Irving and Michael Isard and Jia, Yangqing and Rafal Jozefowicz and Lukasz Kaiser and Manjunath Kudlur and Josh Levenberg and Dandelion Mané and Rajat Monga and Sherry Moore and Derek Murray and Chris Olah and Mike Schuster and Jonathon Shlens and Benoit Steiner and Ilya Sutskever and Kunal Talwar and Paul Tucker and Vincent Vanhoucke and Vijay Vasudevan and Fernanda Viégas and Oriol Vinyals and Pete Warden and Martin Wattenberg and Martin Wicke and Yuan Yu and Xiaoqiang Zheng, 2015 - - - McKinney, Wes, Proceedings of the 9th Python in Science Conference, van der Walt, Stéfan and Millman, Jarrod, 51–56, Data Structures for Statistical Computing in Python, 2010 - - - 10.1145/2934664 - - - Scikit-learn: Machine Learning in Python, Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E., Journal of Machine Learning Research, 12, 2825–2830, 2011 - - - Kubeflow, \urlhttps://www.kubeflow.org/, 2019, jan, 1 - - - - - - From c0cd3cfcd354874422b547bbff754e9e26f0ace9 Mon Sep 17 00:00:00 2001 From: I'm Whedon 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