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mxgraph-editor

mxgraph-editor

mxgraph_user_manual_cn

mxGraph用户手册中文版

mxnet_pose_for_ai_challenger

Implementation of "Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields" for AI challenger keypoint competition

my_orc_keras_verification_code_identification

本项目实现了ocr主流算法gru/lstm+ctc+cnn架构，进行不定长度验证码识别，达到不分割字符而识别验证码内容的效果。验证码内容包含了大小字母以及数字，并增加点、线、颜色、位置、字体等干扰项。本项目对gru +ctc+cnn、lstm+ctc+cnn、cnn三种架构进行了对比，实践说明同等训练下gru/lstm+ctc+cnn架构准确率和速度均明显优于cnn架构，gru +ctc+cnn优于lstm+ctc+cnn，在实验2500个样本数据200轮训练时，gru +ctc+cnn架构在500样本测试准确率达90.2%。本项目技术能够训练长序列的ocr识别，更换数据集和相关调整，即可用于比如身份证号码、车牌、手机号、邮编等识别任务，也可用于汉字识别。

mycail

**法研杯-司法人工智能挑战赛

n-cube

Rules Engine, Decision Tables, Templating

naf_dataset

named-entity-recognition-with-bidirectional-lstm-cnns

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

named_entity_recogonize

lstm+crf 实现中文实体识别

nas-fcos

NAS-FCOS: Fast Neural Architecture Search for Object Detection

nats

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

navicat_keygen

A keygen for Navicat

nc-fish-classification

Scripts/notebooks for The Nature Conservancy's fish classification competition

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ncrf-ae

For the paper: "Semi-Supervised Structured Prediction with Neural CRF Autoencoder"

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

neat-algorithm

nebula

A high performance distributed Graph Database

nebula_doc

nebula 文档, gitbook版

neo4jd3

Neo4j graph visualization using D3.js

nephi

Offline Handwritten Text Recognition

ner

基于tensorflow深度学习的中文的命名实体识别

ner-bert-bilstm-crf-

基于BERT+BiLSTM+CRF实现中文命名实体识别

ner-crf

CRF to detect named entities (primarily names of people)

ner-lstm-crf

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

ner-slot_filling

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

ner_bilstm_crf_chinese

BiLSTM_CRF中文实体命名识别

neroparser

⚡️ 20,000/ms Parser NLP POS AI Chinese words from complex sentence /每秒高达2700万混合分词， 高精准确率，支持病句分析，词性，词频统计，自由扩充词库的快速神经网络中文分词包.

nervenet