Initial public release of the code for the dnn-predict-accuracy publi…

…cation.

PiperOrigin-RevId: 297072333

dnn_predict_accuracy/AUTHORS

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+# This is the list of dnn-predict-accuracy authors for copyright purposes.
+#
+# This does not necessarily list everyone who has contributed code, since in
+# some cases, their employer may be the copyright holder.  To see the full list
+# of contributors, see the revision history in source control.
+Google LLC
+Daniel Keysers
+Ilya Tolstikhin
+Olivier Bousquet
+Sylvain Gelly
+Thomas Unterthiner
+

dnn_predict_accuracy/CONTRIBUTING.md

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+# How to Contribute
+
+We'd love to accept your patches and contributions to this project. There are
+just a few small guidelines you need to follow.
+
+## Contributor License Agreement
+
+Contributions to this project must be accompanied by a Contributor License
+Agreement. You (or your employer) retain the copyright to your contribution;
+this simply gives us permission to use and redistribute your contributions as
+part of the project. Head over to <https://cla.developers.google.com/> to see
+your current agreements on file or to sign a new one.
+
+You generally only need to submit a CLA once, so if you've already submitted one
+(even if it was for a different project), you probably don't need to do it
+again.
+
+## Code reviews
+
+All submissions, including submissions by project members, require review. We
+use GitHub pull requests for this purpose. Consult
+[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
+information on using pull requests.
+
+## Community Guidelines
+
+This project follows [Google's Open Source Community
+Guidelines](https://opensource.google/conduct/).

dnn_predict_accuracy/README.md

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+# dnn-predict-accuracy
+
+This is the source code accompanying the paper "Predicting Neural Network
+Accuracy from Weights". Citation/Author names will be added after the anonymous
+review.
+
+## Data
+
+The data accompanying this paper will be released in the near future. Stay
+tuned! Meanwhile, the code here should be sufficient to re-generate the data or
+see how the models were trained.
+
+## License
+
+This repository is licensed under the Apache License, Version 2.0. See LICENSE
+for details.