Contextualized-topic-models

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* kitty now takes in input a stopword list instead of a language (from which it gathered the stopwords)
* solving a bug in the whitespace preprocessing function
* adding a new preprocessing function that supports passing the stopwords as a list
* deprecating whitespace preprocessing
* minor fixes to kitty API
* breaking change to kitty API, now uses WhiteSpacePreprocessingStopwords.

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* introducing kitty
* improving the documentation a lot

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* patching `Issue 38 <https://github.com/MilaNLProc/contextualized-topic-models/issues/38>`_
* improvements `PR 80 <https://github.com/MilaNLProc/contextualized-topic-models/pull/80>`_

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* new model introduced SuperCTM
* new model introduced β-CTM

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* warning, breaking changes were introduced:
* the order of the parameters in CTMDataset was changed (now first is contextual embeddings)
* CTM takes in input bow_size, contextual_size instead of input_size and bert_size
* changed the name of the parameters in the dataset
* introduced early stopping
* introduced visualization with pyldavis

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* removed constraint over pytorch version. This should solve problems for Windows users