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Pytorch implementation #1

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Pytorch implementation #1

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Commits on Dec 13, 2020

  1. implemented pytorch port of NIG continuous loss

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  2. implemented pytorch equivalents of layers and most losses

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  3. refactor imports for neurips2020 folder

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  4. refactor inits

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  5. refactor imports

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  6. device matching on tensors

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  7. reimplement student_t to be consistent with TF impl. 

    - With Pytorch's StudentT and the TF/manual torch
  implementations I'm able to get probabilities > 1 with
  data generated from a contrived linear regression that
  the model can solve. Not sure why
    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  8. undo setup.py hotfix

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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  9. refactor imports

    @Dariusrussellkish
    Dariusrussellkish committed Dec 13, 2020
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Commits on Dec 14, 2020

  1. Revert "refactor imports" 

    This reverts commit 24cc9aa.
    @Dariusrussellkish
    Dariusrussellkish committed Dec 14, 2020
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  2. Revert "refactor imports" 

    This reverts commit f69c59f.
    @Dariusrussellkish
    Dariusrussellkish committed Dec 14, 2020
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  3. Revert "refactor imports for neurips2020 folder" 

    This reverts commit d973b95.
    @Dariusrussellkish
    Dariusrussellkish committed Dec 14, 2020
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  4. Fixed namespace manipulation 

    Automatically detects torch and tf availability
- error when neither is available
- when only one is available, allows only that backend
- when both are available, default to tf backend
- set_backend('tf'|'torch) manipulates edl.loss and edl.layers namespace
    @Dariusrussellkish
    Dariusrussellkish committed Dec 14, 2020
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  5. Implement Dirichlet_SOS loss

    @Dariusrussellkish
    Dariusrussellkish committed Dec 14, 2020
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Commits on Dec 24, 2020

  1. Reimplement Dirichlet_SOS based on @dougbrion 

    - from https://github.com/dougbrion/pytorch-classification-uncertainty
- MIT license
- Dirichlet dist. with log-loss
- No KL divergence annealing
    @Dariusrussellkish
    Dariusrussellkish committed Dec 24, 2020
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  2. pytorch validation with discrete loss based on arxiv.org/abs/1806.01768

    @Dariusrussellkish
    Dariusrussellkish committed Dec 24, 2020
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  3. Comment update to include pytorch

    @Dariusrussellkish
    Dariusrussellkish committed Dec 24, 2020
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  4. Added pytorch discrete validation plotting

    @Dariusrussellkish
    Dariusrussellkish committed Dec 24, 2020
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  5. added license attribution

    @Dariusrussellkish
    Dariusrussellkish committed Dec 24, 2020
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Commits on Dec 25, 2020

  1. added pytorch environment

    @Dariusrussellkish
    Dariusrussellkish committed Dec 25, 2020
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  2. update logging

    @Dariusrussellkish
    Dariusrussellkish committed Dec 25, 2020
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  3. bugfix in logging

    @Dariusrussellkish
    Dariusrussellkish committed Dec 25, 2020
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