Kyubyong/nlp_made_easy
Explains nlp building blocks in a simple manner.
This is a collection of code notes that simplifies complex concepts in Natural Language Processing (NLP). It provides clear examples for understanding how to process text, generate sequences, and apply advanced techniques like attention or BERT for tasks such as converting spelling to pronunciation. It's designed for developers or researchers building NLP models who need to grasp foundational algorithms and implementation details.
251 stars. No commits in the last 6 months.
Use this if you are an NLP practitioner or deep learning engineer looking for simplified, practical code examples to understand and implement core NLP building blocks and models.
Not ideal if you are an end-user seeking a ready-to-use NLP application or a non-technical person looking for high-level conceptual explanations without code.
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Last pushed
Sep 23, 2019
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