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aapr

Automatic Academic Paper Rating (ACL18)

acnn

论文基于注意力机制的卷积神经网络模型 源代码

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

attention_model_clinical_text

This code implements attention network on top of the CNN used in the paper titled "Relation extraction from clinical texts using domain invariant convolutional neural network" which was accepted in BioNLP at ACL-2016, Berlin, Germany

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bidirectional-lstm-crf-for-clinical-concept-extraction

Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data

bionlp-2016

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

cemrclass

Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016

ch2r_ood_understanding

cnn-text-classification-keras

Text Classification by Convolutional Neural Network in Keras

crnn-relation-classification

Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.

dalstm

dcnn

documentclassification

This code implements a simple CNN model for document classification with tensorflow.

emnlp2017-bilstm-cnn-crf

enterprise-info-spider

一个爬取企查查网站中所有**企业与公司基本信息的爬虫程序。

keras-multiplicative-lstm

Miltiplicative LSTM for Keras 2.0+

keras-text-classification

Text classification using Convolutional Neural Networks (CNN)

language-modeling-gatedcnn

Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"

lstm-context-embeddings

Enriching word embeddings with their surrounding context using bidirectional RNN

ml-systems

papers on scalable and efficient machine learning systems

models

Models and examples built with TensorFlow

python-pinyin

汉字拼音转换工具 Python 版(pypinyin)。

qa4ie

Original implementation of QA4IE

qclass_dl

Question classification on TREC dataset using Deep Neural structures, namely CNN & LSTM & both of them.

question-classification

我的深度学习模型用来解决TREC数据集中的问题分类任务。

rbf

Implementation for Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. Hadi Amiri, Timothy A. Miller, Guergana Savova. EMNLP 2017.

recurrent-convolutional-neural-network-text-classifier

My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

semantic-cnn

Initializing Convolutional Filters with Semantic Features for Text Classification