Stars
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
multi-label-classification-4-event-type
A little word cloud generator in Python
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
dandelion23 / mosesdecoder
Forked from moses-smt/mosesdecoderMoses, the machine translation system
Models and examples built with TensorFlow
all kinds of text classification models and more with deep learning
several methods for text classification
This is the code in <Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets> which has been accepted by ACL 2019.
Python library for processing Chinese text
Translate Chinese hanzi to pinyin (拼音) by Python, 汉字转拼音
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
InferSent sentence embeddings
siamese lstm network for text similarity
An Open Source Machine Learning Framework for Everyone
This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.