Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

基于Pytorch和torchtext的自然语言处理深度学习框架。

Easy to use NLP library built on PyTorch and TorchText

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

A set of tutorials for torchtext

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.

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.

UNF(Universal NLP Framework)

Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)

code for nlp beginner, including Sentiment Analysis, NER, NLI and Language Model.

PyTorch repository for text categorization and NER experiments in Turkish and English.

pytorch implementation of various models for snli and mnli task

torchtext-tutorial (text classification)

Collection of Notebooks for Natural Language Processing with PyTorch

Seniment Analysis in Torchtext

Make Torchtext work with Keras.

A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention in All You Need Paper for the task of German to English Translation.