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deep-learning-programming
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plasma-python
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Commits on Feb 24, 2019
Update ICC 17 version available on TigerGPU
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Commits on Jan 18, 2019
Update Primitives.md
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Update ANL_Theta.md
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Fix link to tutorial in README.md (use relative link)
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Commits on Aug 6, 2018
Merge pull request #34 from PPPLDeepLearning/reduce_options
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Update mpi_runner.py
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Do not broadcast weights after all-reduce
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Commits on Mar 13, 2018
Merge pull request #33 from PPPLDeepLearning/import_fixes_py2
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Commits on Mar 12, 2018
Fix t.MaxHingeTarget.fac -> MaxHingeTarget.fac
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Defer import causing a cyclic dependency until later. Only needed in Python 2
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Defer import causing a cyclic dependency until later. Only needed in Python 2
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Bug fix: proper plasma.conf import
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Import error in targets
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Merge pull request #32 from PPPLDeepLearning/early_stopping_fixes
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Commits on Mar 11, 2018
Relax Keras version requirement now
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After 2.0.6, keras Model does not have stop_training attribute. Only added in the callback
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Commits on Feb 23, 2018
Merge pull request #30 from PPPLDeepLearning/loss_scaling
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Use scratch gpfs on Tigergpu - SSDs
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Add loss scaling option to targets
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Unscale gradients by DUMMY_LR factor before subtracting, unscale loss…
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Add a config parameter to control loss scaling. Default is 1.0
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Commits on Feb 9, 2018
Merge pull request #29 from PPPLDeepLearning/jdev
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modified printout to add walltime
Julian Kates-Harbeck
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removed print
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implemented randomized cutting of first batch_size shots in the buffer. This means shots end at random times even at the beginning of training, which removes the bias that for the first couple of t…
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conf update
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conf update
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not saving from within preprocessor class
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not saving from within preprocessor class
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merged
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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.
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Commits on Feb 7, 2018
backwards compatibility for normalizer (check if signal has is_positive attribute). Plotting options for performance analyzer
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Merge branch 'jdev' of https://github.com/PPPLDeepLearning/plasma-python into jdev
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recasting to shotlist
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added saving of ROC curves and accumulated disruptions
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