Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Updated
Jan 20, 2024 - Jupyter Notebook
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!
Basic Utilities for PyTorch Natural Language Processing (NLP)
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
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.
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
PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇
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