IvLabs/Natural-Language-Processing
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
This is a collection of code implementations for various natural language processing techniques. It provides working examples of different neural network architectures for tasks like predicting the next character or word in a sequence and translating text between languages. This resource is for students, researchers, and developers who are learning about or implementing these specific NLP models.
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Use this if you are a developer, researcher, or student interested in understanding and implementing fundamental NLP architectures from scratch, particularly for sequence modeling and neural machine translation.
Not ideal if you are looking for an off-the-shelf tool or library to solve an immediate, practical NLP problem without diving into the underlying model implementations.
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Jupyter Notebook
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MIT
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Last pushed
Apr 16, 2025
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