There are 5 repositories under torchtext topic.
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。
A tutorial on how to implement models for part-of-speech tagging using 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。
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.
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.
Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code' in PyTorch using TorchText
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
Multi label text classification based on Amazon Product Review, Find the topic/area which the review belogs to. Using TfidfVectorizer and LogisticRegression
Repository of state of the art text/documentation classification algorithms in Pytorch.
State of the art of Neural Machine Translation with PyTorch and TorchText.
Convolutional Neural Network (CNN) for text classification implemented with PyTorch and TorchText
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.
Generates summary of a given news article. Used attention seq2seq encoder decoder model.
Find the labels in Github automatically #opensource #ML
Sentiment analysis model implementation using PyTorch and torchtext with Korean corpus
Transformer Implementation for NMT using PyTorch Lightning (Korean to English)
In this project, I define and train an image-to-caption model that can produce descriptions for real world images with Flickr-8k dataset.
Deep Learning for text classification with Torchtext, PyTorch & FastAI
PyTorch implementation of multi-class sentiment classification on SST dataset using CNN and RNN.
A PyTorch framework for creating, running, and reproducing experiments on seq2seq models.
Speech to Text with Wav2Vec2 using torchaudio