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.

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

Basic Utilities for PyTorch Natural Language Processing (NLP)

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

🍀 Another Chinese chatbot implemented in PyTorch, which is the sub-module of intelligent work order processing robot. 👩‍🔧

🔥机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial

Learn how to use PyTorch to solve some common NLP problems with deep learning.

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

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

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

NLP research experiments, built on PyTorch within the AllenNLP framework.

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

A Light and Modular PyTorch NLP Project Template

Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch