will-thompson-k/deeplearning-nlp-models
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
ArchivedImplements models chronologically from embeddings through transformers, with self-contained tokenizers, dataset loaders, and custom utilities bundled per model to eliminate external dependencies. Each implementation includes annotated source code and accompanying README overviews explaining architectural motivation, paired with runnable Jupyter notebooks demonstrating training and analysis on real datasets using PyTorch and HuggingFace's datasets library.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 10, 2020
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