How to build your own chatbot NLP engine

Data Science And Machine Learning Spreadsheets Developer Tools

Keras Landing Page
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Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Pricing:
- Open Source
At the core of the Xatkit NLU engine we have a Keras/Tensorflow model.

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NLP.js Landing Page

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NLP.js

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more - axa-group/nlp.js

Probably not. In fact, in Xatkit we aim to be a chatbot orchestration platform exactly to avoid reinventing the wheel and the non-invented here syndrome. So, in most cases, other existing platform (like DialogFlow or nlp.js) will work just fine. But we have also realized that there are always some particularly tricky bots for which you really need to be able to customize your engine to the specific chatbot semantics to get the results you want.

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FastAPI Landing Page
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FastAPI

FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
Pricing:
- Open Source
- Free
Main.py holds the API definition (thanks to the FastAPI framework). The dsl package has the internal data structures storing the bot definition. The dto is a simplified version of the dsl classes to facilitate the API calls. Finally, the core package includes the configuration options and the core prediction and training functions.

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