torchtext

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

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

UNF(Universal NLP Framework)

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.

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.

torchtext-tutorial (text classification)

A deep learning text classification demo: CNN/LSTM/GRU for text classification based on pytorch. 深度学习文本分类的入门demo：CNN/RNN/双向LSTM和单向LSTM/双向GRU和单向GRU, 基于pytorch

pytorch implementation of various models for snli and mnli task

Collection of Notebooks for Natural Language Processing with PyTorch

Seniment Analysis in Torchtext

Make Torchtext work with Keras.

Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa