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A Rasa NLU component library

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Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.12.2 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Got error while training. Can you please please resolve ValueError: Dimensions must be equal, but are 128 and 1048576 for 'gradients/module_apply_tokens/bert/encoder/layer_11/attention/self/Softmax_grad/sub'

![a](https://user-images.githubusercontent.com/17758473/67632039-d5bebd00-f8bf-11e9-8be8-ea896cad9d42.png)

Cannot use pip install to have innatis on Windows. ``` Collecting innatis Using cached https://files.pythonhosted.org/.../innatis-0.7.0.tar.gz ERROR: Command errored out with exit status 1: command: 'UserDirectory\\Anaconda3\envs\nlpenv\python.exe' -c 'import sys, setuptools, tokenize;...

I cannot install, I got an error while installing. Which is a kind of VERSION Error " ERROR: Command errored out with exit status 1:"

* [add] `VERSION` - a file with the version number * [add] `build_release.sh` - a script which bumps the minor version, creates a new sdist, and uploads it to pypi....

Hi, I loaded the BERT trained model once, but every time when I predict the class of the same sentence my probability gets changed. Can someone please share, how to...

My rasa version is 1.1.4 Python version 3.5.7 I encounter a problem with the cashe_key part, all I did was installing innitas and updated the config file. after writing congif...

Users misspell things. Having spell-check and synonyms helps a lot, but doesn't catch everything. One solution would be to use [the python metaphone package](https://pypi.org/project/Metaphone/#double-metaphone)'s implementation of the Double Metaphone algorithm....

enhancement
good first issue

New Universal Sentence Encoder module supports the 8 most common languages, English, Chinese, Japanese, Korean, Spanish, French, German, Italian. It should be an almost-drop-in replacement[0] for the current USE model:...

enhancement
good first issue