Named Entity Recognition (LSTM + CRF) - Tensorflow
#自然语言处理#A fast, efficient universal vector embedding utility package.
#自然语言处理#My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
翻译 - Keras和Theano在机器学习，NLP，深度学习和强化学习中的Python代码
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
#自然语言处理#Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Four word embedding models implemented in Python. Supporting arbitrary context features
Text classification using deep learning models in Pytorch
#自然语言处理#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。
#计算机科学#Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
#自然语言处理#This repository contains a new generative model of chatbot based on seq2seq modeling.
TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。
#自然语言处理#One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
#自然语言处理#Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
#自然语言处理#Compact high quality word embeddings for Russian language
#自然语言处理#Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).
Word Embedding + LSTM + FC
#自然语言处理#Using pre trained word embeddings (Fasttext, Word2Vec)