NeuronBlocks vs rasa NLU: What are the differences?

What is NeuronBlocks? A deep learning modeling toolkit by Microsoft. It is a NLP deep learning modeling toolkit that helps engineers/researchers to build end-to-end pipelines for neural network model training for NLP tasks. The main goal of this toolkit is to minimize developing cost for NLP deep neural network model building, including both training and inference stages.

What is rasa NLU? Open source, drop-in replacement for NLP tools like wit.ai. rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

NeuronBlocks and rasa NLU belong to "NLP / Sentiment Analysis" category of the tech stack.

NeuronBlocks and rasa NLU are both open source tools. rasa NLU with 5.77K GitHub stars and 1.7K forks on GitHub appears to be more popular than NeuronBlocks with 1.08K GitHub stars and 153 GitHub forks.