eb10a788b0
updates
2019-05-28 18:12:31 -07:00
7db36a90af
fixes
2019-05-20 14:29:25 -07:00
19067c71ba
option to retrain encoder embeddings
2019-04-15 16:11:10 -07:00
4905ad6ce8
Fixes
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Apparently layer norm implementation can't be tampered with!
Reverting the change for now and switching to a new branch for truly fixing this.
2019-04-08 17:24:02 -07:00
a7a2d752d2
Fixes
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std() in layer normalization is the culprit for generating NAN.
It happens in the backward pass for values with zero variance.
Just update the mean for these batches.
2019-04-08 14:48:23 -07:00
4acdba6c22
fix for NAN loss
2019-04-05 10:26:35 -07:00
6a97970b13
fix typo
2019-03-27 12:46:20 -07:00
9814d6bf4f
Implement using a pretrained language model for the decoder embedding
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Let's see if it makes a difference
2019-03-27 11:40:59 -07:00
cea6092f90
Fix evaluating
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- fix loading old config.json files that are missing some parameters
- fix expanding the trained embedding
- add a default context for "almond_with_thingpedia_as_context"
(to include thingpedia)
- fix handling empty sentences
2019-03-23 17:28:22 -07:00
799d8c4993
fix syntax
2019-03-19 20:40:01 -07:00
a3cf02cbe7
Add a way to disable glove embeddings on the decoder side
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With grammar, they just add noise and overfit badly
2019-03-19 20:36:20 -07:00
d67ef67fb8
Fix
2019-03-19 17:49:42 -07:00
2769cc96e3
Add the option to train a portion of decoder embeddings
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This will be needed because GloVe/char embeddings are meaningless
for tokens that encode grammar productions (which are of the form
"R<id>")
2019-03-19 17:31:53 -07:00
1a2a4a9ea9
One more stanford copyright
2019-03-01 16:18:10 -08:00
8e2b519ac3
Add copyright notices to all files
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Makes the license clear and explicit
2019-03-01 15:51:45 -08:00
41b80bb4f4
Move all python files to a decanlp/ package
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As per python conventions
2019-03-01 15:43:02 -08:00
mehrad