rainmaker712/nlp_ryan
Study for Natural Language Processing & Deep Learning Framework
This project offers a collection of tutorials and resources for engineers and researchers working on natural language processing (NLP) tasks. It provides guidance and code examples for building models that can categorize text, generate summaries, answer questions from documents, and even create song lyrics. Practitioners can find implementations for various deep learning approaches to process text data and produce meaningful linguistic outputs.
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Use this if you are a machine learning engineer or researcher looking for practical implementations and tutorials to tackle common NLP problems like text classification, summarization, or question answering.
Not ideal if you are looking for a ready-to-use application or a high-level library that abstracts away the deep learning implementation details.
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Last pushed
Oct 20, 2019
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