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Author
2022-05-19
Simplify - can use torch tensors directly rather than first creating np arrays
refactor_dataloader
John Bauer
2022-05-19
Pytorch dataloader
John Bauer
2022-05-19
Start to refactor pieces of the tokenizer dataset into pieces so we can make ...
John Bauer
2022-05-19
numpy instead of torch is slightly faster in the small sentence regime, very ...
John Bauer
2022-05-17
labels is unused in tokenizer predict
John Bauer
2022-05-17
Remove unused import
John Bauer
2022-05-16
Add the skip_newlines test to the file reading version of the tokenizer data ...
John Bauer
2022-05-16
Abstract away labels() rather than having the eval code know the format of th...
John Bauer
2022-05-16
more specific Exception type
John Bauer
2022-05-16
Get rid of the input_data field - was only used for tests, and the tests don'...
John Bauer
2022-05-16
For the MWT test, use the fake tokenizer files rather than putting in the fak...
John Bauer
2022-05-16
Factor out a method to write the input to temp files in a tokenizer test
John Bauer
2022-05-16
Add a tiny bit of doc
John Bauer
2022-05-16
Merge pull request #1029 from stanfordnlp/refactor_tok
John Bauer
2022-05-16
Run some basic tests on the dictionary in the ZH tokenizer
John Bauer
2022-05-16
Rearrange - not necessary for this to be an inner function
John Bauer
2022-05-16
whitespace
John Bauer
2022-05-16
torch tensors instead of lists of numbers
John Bauer
2022-05-15
Separate out the label creation - no need to make a fake string of 0s at runtime
John Bauer
2022-05-15
Add a test which pokes the DataLoader object to make sure it is processing da...
John Bauer
2022-05-15
Separate the next() functionality which advances an unfinished batch into a s...
John Bauer
2022-05-14
whitespace update
John Bauer
2022-05-14
use save_name for consistency
John Bauer
2022-05-14
Use save_name to load if load_name is not set
John Bauer
2022-05-14
zh -> zh-hans to match the names of other models
John Bauer
2022-05-14
Use weighted_f1 by default to pick a best model
John Bauer
2022-05-14
Oops, got the test file name mixed up with train
John Bauer
2022-05-14
Add bert to sentiment training. Includes loading it in pipelines and at test...
John Bauer
2022-05-14
Log average loss even when doing an interim analysis
John Bauer
2022-05-14
Simplify loading of charlm in sentiment
John Bauer
2022-05-14
Remove unused const
John Bauer
2022-05-14
Use save_name and load_name in run_sentiment.py in order to simplify the name...
John Bauer
2022-05-14
Cache charlms in the FoundationCache, including a test of the loading.
John Bauer
2022-05-14
In conparser, load charlm in the load() method
John Bauer
2022-05-14
add pytest as requirement
J38
2022-05-14
update to new conda set up
J38
2022-05-14
write temp directories to test working dir not present dir
J38
2022-05-12
create id_tensor directly on the device needed
John Bauer
2022-05-12
Hindi bert model is missing max_length
John Bauer
2022-05-12
Use the dash replacement for the HI bert as well
John Bauer
2022-05-12
Merge pull request #1026 from stanfordnlp/charlm_refactor
John Bauer
2022-05-12
Simplify opening .xz vs regular text files
John Bauer
2022-05-12
Add a test of save & load charlm
John Bauer
2022-05-12
Move the charlm build code to char_model.py to be near the code it uses. Als...
John Bauer
2022-05-12
Simplify a bit - the phobert notes are now hidden in the bert_embedding module
John Bauer
2022-05-11
Some small notes on running hiner
John Bauer
2022-05-11
bert can be separate from word emb
John Bauer
2022-05-11
Technically this is more correcter -- no list in default parameters
John Bauer
2022-05-11
Add HiNER processing (which is just a conll -> json conversion)
John Bauer
2022-05-10
Add `str()` and `in` methods to multivocab
John Bauer
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