An NLP deep learning toolkit for building training pipelines. Tries to minimize the effort for constructing the training and inference stages. Defines modular building blocks of neural network components, and a suite of NLP models. The end goal is to make building a neural network as easy as playing with Legos. Supports English and Chinese.
A deep learning NLP modeling framework based on PyTorch. Text classifiers, sequence taggers, joint intent-slot models.
In this post, we’ll be looking at how we can use a deep learning model to train a chatbot on my past social media conversations in hope of getting the chatbot to respond to messages the way that I would.
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