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char-rnn-tensorflow

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

encdec

Basic RNN Encoder Decoder in Tensorflow

literaturedl4graph

ner-tagger-tensorflow

The model is basically a Bi-LSTM based sequence tagger which can utilize several sources of information about each word unit like word embeddings, character based embeddings and capitalization features to obtain the representation for that specific word unit.

nlp-journey

nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nn_ner_tensorflow

Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in Tensorflow

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

rnn-seq2seq

Recurrent Neural Network sequence-to-sequence model (Natural Language Processing)

rnn-tensorflow

Learning to implement an various types of Recurrent Neural Network for modelling sequenced data

rnn_vae

Sequence VAE in Tensorflow

seq2seq-tensorflow

[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks

sequence-tagging-tensorflow

sequence_tagging

Sequence Tagging and Named Entity Recognition with Tensorflow (LSTM + CRF)

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

tagger

Named Entity Recognition Tool

tf-seq2seq

Sequence to sequence learning using TensorFlow.