Tensorflow(seq2seq) based abstractive text summarizer that takes amazon reviews or any other sentence to generate headline. Requires Python 3.6,tensorflow 1.4.0 and jupyter notebook
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Updated
Nov 28, 2017 - Jupyter Notebook
Tensorflow(seq2seq) based abstractive text summarizer that takes amazon reviews or any other sentence to generate headline. Requires Python 3.6,tensorflow 1.4.0 and jupyter notebook
Collection of Notebooks for Natural Language Processing with PyTorch
A series of Jupyter notebooks that generate recipe names using seq2seq autoencoders and GANs.
NLP学习笔记的Notebook,包含经典模型的理解与相关实践。
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This repo contains training notebook and TFLite conversion notebook of the Neural machine translation model developed using TensorFlow.
This notebooks, we train a seq2seq decoder model with teacher forcing. Then use the trained layers from the decoder to generate a sentence.
Pytorch implementation of my old notebook
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
This repo contains learnings about Artificial Intelligence and Machine Learning using Python Jupyter Notebooks downloaded as HTML
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
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