practical-pytorch and practical-torchtext
These two tools are **complementary**: the deprecated `practical-pytorch` repo offered general PyTorch tutorials, while `practical-torchtext` provides specific tutorials for using the `torchtext` library, making the latter useful for NLP practitioners who might have learned general PyTorch concepts from resources like the former (or its modern equivalents) and now want to apply them to text data.
About practical-pytorch
spro/practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Covers character-level and sequence-to-sequence RNN architectures for NLP tasks including text classification, generation, and machine translation with attention mechanisms. Implements practical applications like name classification, Shakespeare text generation, and neural machine translation using PyTorch's autograd and embedding layers. Jupyter notebooks demonstrate end-to-end workflows with internet-sourced datasets and GloVe word vectors.
About practical-torchtext
keitakurita/practical-torchtext
A set of tutorials for torchtext
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