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用多层BLSTM模型同时进行中文分词和标点符号预测

-lstm-

实现了多个版本的LSTM，如融入注意力机制的LSTMN，快速LSTM等

-lstm-cnn-

众所周知，双向lstm在众多序列标注任务中要比单向LSTM优越。单向LSTM只能学习到过去的上下文信息，而没有考虑到未来的信息，但是CNN和单向lstm的结合可以解决这个问题，这份代码用tensorflow1.0.1对所述模型进行了实现，用于中文分词序列标注。

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

camel2000.github.io

capsule

A Capsule Implement with Pure Keras

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-tensorflow

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

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

ctrlp.vim

Fuzzy file, buffer, mru, tag, etc finder.

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

familia

A Toolkit for Industrial Topic Modeling

fastai

The fast.ai deep learning library, lessons, and tutorials

keyword-bert

lic2019_ie

2019 Language and Intelligence Challenge, Information Extraction

longformer-chinese

chinese version of longformer

lstm-

LSTM语言模型

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

nmt

TensorFlow Neural Machine Translation Tutorial

python-learning

Those years of learning Python - 这些年学习的Python

python-patterns

A collection of design patterns/idioms in Python

rosettafold

This package contains deep learning models and related scripts for RoseTTAFold

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

simcse-pytorch

中文数据集下SimCSE+ESimCSE的实现