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Commits on Feb 23, 2018

• Use scratch gpfs on Tigergpu - SSDs

  ASvyatkovskiy

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• Add a config parameter to control loss scaling. Default is 1.0

  ASvyatkovskiy

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Commits on Feb 9, 2018

• conf update

  

  Julian Kates-Harbeck

  committed
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• conf update

  

  Julian Kates-Harbeck

  committed
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• not saving from within preprocessor class

  

  Julian Kates-Harbeck

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  Julian Kates-Harbeck

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• merged

  

  Julian Kates-Harbeck

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  Julian Kates-Harbeck

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• fixed bug where all workers had the same numpy random seed (it gets reset to 0 in preprocessor). Thus need to explicitly give each worker a different random seed right before training.

  

  Julian Kates-Harbeck

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Commits on Feb 7, 2018

• added saving of ROC curves and accumulated disruptions

  

  Julian Kates-Harbeck

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  Julian Kates-Harbeck

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Commits on Feb 5, 2018

• Merge branch 'jdev' of https://github.com/PPPLDeepLearning/plasma-python

  

  Julian Kates-Harbeck

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  Julian Kates-Harbeck

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• latest version of scaling plot notebook

  

  Julian Kates-Harbeck

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  Julian Kates-Harbeck

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Commits on Feb 1, 2018

• higher numbers of conv filters in tune hyperparams

  

  Julian Kates-Harbeck

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Commits on Jan 24, 2018

• added option for partial multiplication factor in bleed in

  

  Julian Kates-Harbeck

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Commits on Jan 16, 2018

• Merge pull request #27 from PPPLDeepLearning/batch_norm_bidirectional

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  ASvyatkovskiy

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Commits on Jan 12, 2018

• Batch norm and bidirectional flags

  ASvyatkovskiy

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Commits on Jan 11, 2018

• Resolve merge conflicts

  ASvyatkovskiy

  committed
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• bleed in option of adding multiple times

  

  Julian Kates-Harbeck

  authored and

  Julian Kates-Harbeck

  committed
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• Merge branch 'master' of https://github.com/PPPLDeepLearning/plasma-python

  

  Julian Kates-Harbeck

  authored and

  Julian Kates-Harbeck

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Commits on Dec 27, 2017

• Easier parsing with sed

  ASvyatkovskiy

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Commits on Dec 26, 2017

• Refactor

  ASvyatkovskiy

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• Full build integration chain for Python 2 and Python 3

  ASvyatkovskiy

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• PYTHONHASHSEED is not needed with hashlb md5

  ASvyatkovskiy

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• No longer in use

  ASvyatkovskiy

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Commits on Dec 25, 2017

• Restrict Jenkins build to 2 epochs

  ASvyatkovskiy

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• Trigger Jenkins build

  ASvyatkovskiy

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• Notebooks belong in examples/notebooks

  ASvyatkovskiy

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• Jenkins test

  ASvyatkovskiy

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Commits on Dec 18, 2017

• signal importance through occlusion

  

  Julian Kates-Harbeck

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• script to compare performance of two trained models

  

  Julian Kates-Harbeck

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• Changes to Jenkins as we move to pull request based trigger

  ASvyatkovskiy

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Commits on Dec 15, 2017

• Extract time to solution plots

  ASvyatkovskiy

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• added extra parameter extra_dense_input, whether we want an extra dense layer before the rnn

  

  Julian Kates-Harbeck

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Commits on Dec 13, 2017

• Make user agnostic -- user alexeys env variable

  ASvyatkovskiy

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• TigerGPU slurm file update

  ASvyatkovskiy

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Commits on Dec 10, 2017

• sorting of 1D signals such that they are at the end. Extended is_strictly_positive to 1D signals. Fixed bug where attribute and function had the same name is_strictly_positive

  

  Julian Kates-Harbeck

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Commits on Dec 8, 2017

• Introduce a tunable parameter to control statistical range after normalization from conf

  ASvyatkovskiy

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