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94f27d6f2a
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add Adadelta optimizer
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2019-02-03 14:30:47 +01:00 |
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f60535aa01
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generalize Adam-like optimizers
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2019-02-03 14:30:03 +01:00 |
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c6ebd02ea9
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comply to PEP 8
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2018-03-24 06:26:02 +01:00 |
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a685db1489
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add exact GELU activation
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2018-03-22 12:02:17 +01:00 |
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7161f983ab
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fix __name__ being incorrect due to extra __all__
this fixes tracebacks and checks for __main__,
among other things.
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2018-03-17 14:09:15 +01:00 |
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ec71d4956e
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fix module leaking for real
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2018-03-13 03:27:11 +01:00 |
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843524b80a
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move ActivityRegularizer to regularizer.py
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2018-03-13 02:34:44 +01:00 |
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b74e0941dc
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fix Swish inits
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2018-03-12 02:17:28 +01:00 |
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bd1e80b8de
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activation layers inherit a dummy class
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2018-03-11 22:34:46 +01:00 |
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cb4e6d3725
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add Swish and SiLU activations
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2018-03-11 03:34:00 +01:00 |
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91cdea3b26
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fix inequalities in HardClip
oldest trick in the book
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2018-03-10 05:03:26 +01:00 |
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a6519f5455
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improve notes on dependencies
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2018-03-09 10:17:31 +01:00 |
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bd4f2a9478
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fix missing import for ActivityRegularizer
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2018-03-09 10:09:50 +01:00 |
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9a45b26b7f
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add rough stratified k-folding utility class
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2018-03-08 02:41:45 +01:00 |
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65bc9b8a6f
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optionally allow gradients to passthru Input layer
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2018-03-08 02:40:56 +01:00 |
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4746103978
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add HardClip activation layer
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2018-03-08 02:40:42 +01:00 |
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44cae4ad50
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add LookupLearner
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2018-03-07 01:58:17 +01:00 |
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8abbb1e713
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add NoiseInjector and NoiseMultiplier layers
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2018-03-07 01:54:48 +01:00 |
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604ffb9fa1
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add variant of L1L2 regularization using averages
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2018-03-07 01:53:40 +01:00 |
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713fd2adbe
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add experimental soft-clipped optimizers
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2018-03-07 01:52:26 +01:00 |
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3aa3b70a9f
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add AMSgrad optimizer
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2018-03-07 01:30:04 +01:00 |
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0641c747c9
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add Arcsinh activation
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2018-03-07 01:29:48 +01:00 |
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8ce2ec1ad4
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add missing import
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2018-02-10 11:28:43 +01:00 |
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39bbf27860
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add onehot utility function
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2018-02-02 08:52:32 +01:00 |
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e7783188bb
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tweak float exports
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2018-02-02 08:51:39 +01:00 |
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169303813d
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basic PEP 8 compliance
rip readability
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2018-01-22 19:40:36 +00:00 |
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c81ce0afbb
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rename stuff and add a couple missing imports
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2018-01-21 22:16:36 +00:00 |
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bbdb91fcb1
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merge and split modules into a package
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2018-01-21 22:07:57 +00:00 |
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db65fbdd62
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add Neumann optimizer
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2018-01-12 15:42:04 +00:00 |
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1ebb897f14
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use @ operator
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2017-10-19 04:12:16 +00:00 |
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a85ee67780
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allow CLRs to use optimizer's learning rate
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2017-10-19 04:03:44 +00:00 |
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763246df98
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add RMSpropCentered to model from config
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2017-09-26 23:12:40 +00:00 |
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9bb26b1ec5
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add Huber loss
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2017-09-25 16:37:52 +00:00 |
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eb16377ba6
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add Adagrad optimizer
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2017-09-25 16:06:45 +00:00 |
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c964f143d2
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not true
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2017-09-25 07:12:19 +00:00 |
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5b6fd6259f
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update example
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2017-09-25 06:28:59 +00:00 |
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a760c4841b
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add fallback to optim.lr in AnnealingLearner
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2017-09-25 06:10:54 +00:00 |
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916c6fe1f0
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assert that rituals have been prepared
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2017-09-25 06:10:04 +00:00 |
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615f43c550
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support AddSign and PowerSign in config
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2017-09-25 06:09:36 +00:00 |
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fe54002671
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remove DumbLearner
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2017-09-25 06:09:07 +00:00 |
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9a7ffe5f0d
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add AddSign and PowerSign optimizers
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2017-09-25 04:02:17 +00:00 |
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5c83f063be
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remove keras stuff so it won't show on google
bleh
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2017-09-18 04:42:41 +00:00 |
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d38e2076f0
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allow multi-input and multi-output models
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2017-09-16 18:28:05 +00:00 |
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3386869b30
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move actreg tweaking into if statement
i was getting division by zero.
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2017-09-16 17:33:47 +00:00 |
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65ba80bb96
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skip over irrelevant nodes
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2017-09-16 17:31:39 +00:00 |
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dcbaef3032
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use MomentumClip in warmup for stability
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2017-09-16 17:30:52 +00:00 |
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7878f94f43
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auto-increment loss filenames to stop clobbering
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2017-09-16 17:30:02 +00:00 |
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e22316a4c9
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move losses into Model and refactor methods
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2017-09-16 17:05:25 +00:00 |
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910facf98d
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move NLL to core
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2017-08-05 10:59:05 +00:00 |
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0b9c1fe117
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allow SGDR to anneal optimizer's learning rate
e.g. YellowFin
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2017-08-05 10:43:38 +00:00 |
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