Named Entity Recognition (LSTM + CRF) - Tensorflow

A fast, efficient universal vector embedding utility package.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

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

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。

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Word Embeddings (e.g. Word2Vec) in Go!

Fast word vectors with little memory usage in Python

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

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。

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

Compact high quality word embeddings for Russian language

Using pre trained word embeddings (Fasttext, Word2Vec)

Word Embedding + LSTM + FC