LICENSE

MIT License

Copyright (c) 2020 The Laboratory for Robust and Efficient Machine Learning

Parts of this software are based on the following repositories:
- Stochastic Weight Averaging (SWA), https://github.com/timgaripov/swa, Copyright (c) 2018, Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry Vetrov, Andrew Gordon Wilson
- A Simple Baseline for Bayesian Deep Learning, https://github.com/wjmaddox/swa_gaussian, Copyright (c) 2019, Wesley Maddox, Timur Garipov, Pavel Izmailov,  Dmitry Vetrov, Andrew Gordon Wilson
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning, https://github.com/ruqizhang/csgmcmc, Copyright (c) 2019 Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen and Andrew Gordon Wilson
- Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs, https://github.com/timgaripov/dnn-mode-connectivity, Copyright (c) 2018  Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry Vetrov and Andrew Gordon Wilson
- PyTorch Ensembles, https://github.com/bayesgroup/pytorch-ensembles, Copyright (c) 2020 Samsung AI Center Moscow, Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry Vetrov
- PyTorch, https://github.com/pytorch/pytorch, Copyright (c) 2016-present, Facebook Inc

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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SOFTWARE.