long8v/torch_study
torch tutorial and paper implementation mainly about NLP
This project helps machine learning researchers and students understand and recreate foundational natural language processing (NLP) models. It provides implementations of key NLP papers, showing how to build models like CNNs for text classification or sequence-to-sequence networks for translation, using the PyTorch framework directly without higher-level libraries. You can input text data and obtain trained models or experiment with architectures for various language tasks.
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Use this if you are a machine learning student or researcher looking to deepen your understanding of core NLP models by implementing them from scratch using PyTorch.
Not ideal if you need a high-level library for quickly applying state-of-the-art NLP models without diving into their underlying architecture.
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Sep 12, 2022
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