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A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)

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I am trying to evaluate a model using evaluate_model() `evaluate_model("some.json") ` but it gives a ParseException. some.json- ``` { "model_class": "BidirectionalAttentionFlow", "model_serialization_prefix": "/models/bidaf", "encoder": { "word": { "type": "cnn", "ngram_filter_sizes":...

We use conda to create a consistent environment for Python. Is there a reason we use conda over virtualenv? I was reading the [AI2 Python Guide](https://github.com/allenai/wiki/wiki/Python) and it recommends using...

This is similar to tuple instance.

Currently, if you want to load a model trained on one dataset and continue training, you can kind of do that, but it will end up overwriting the model that...

P1
Easy
New API feature

With dropping theano support, it should be easy to make our models use multiple GPUs, not just with batch parallelism, and to put some parts of the model on the...

P2
Easy
New API feature

See #362. We had to pin the sphinx version because of a conflict with how we're using python's logging functionality. We need to fix this somehow.

API clean up
P1
Easy

Here is a possible way to get the .md files in the docs - not ideal to have to convert them and it also means we can't use relative github...

This would cut down pre-processing time, at the expense of having to make sure you're using the right vocabulary files and such. It would probably also make some of the...

P2
New API feature
Performance improvement

I'm not sure how this would work, really, but it takes a whole lot of memory to do it like we do it, tiling everything and then doing elementwise multiplication....

P2
Hard
Performance improvement