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.

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75 Stars

8 Forks

75 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$18.4K

Market Value

$27.7K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the will-thompson-k/deeplearning-nlp-models GitHub project? Description: "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. ". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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