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abcnn

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

an-ensemble-of-attention-based-bilstm-model-for-machine-comprehension

An implementation for SemEval 2018 Task 11: Machine Comprehension using Commonsense Knowledge

bayesspam

python实现基于贝叶斯的简单垃圾邮件分类

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-chinese-classification-task

bert中文分类实践

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bert-textclassification

Implemention some Baseline Model upon Bert for Text Classification

bert-thucnews

bert-thucnews-classification

Bert-based text classification

bert_chinese_pytorch

bert for chinese text classification

bert_chinesewordsegment

A Chinese word segment model based on BERT, F1-Score 97%

bert_classification

利用bert预训练的中文模型进行文本分类 数据集中文情感分析语料chnsenticorp

chainsofreasoning

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

char-rnn-tensorflow-1

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

dataset-sts

Semantic Text Similarity Dataset Hub

deep-learning-framework-for-text-meaning-match

A Bi-LSTM Configurable Framework for searching the best deep learning algorithms for document matching, applied to Question Pairs from Quora as first example.

deep-news-summarization

News summarization using sequence to sequence model with attention in TensorFlow.

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

generative-adversarial-nets

A TensorFlow implementation of Generative Adversarial Networks and Conditional Generative Adversarial Networks

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

lstm-cnn_classification

lstm-siamese-text-similarity

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

lstm-text-generation

文本生成(Word2Vec + RNN/LSTM)

mail-spam-filtering

It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.