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medicinessystem

医药销售管理系统

mgiza

A word alignment tool based on famous GIZA++, extended to support multi-threading, resume training and incremental training.

models

Models built with TensorFlow

nd4j

nd4j site

newos

新闻发布系统

news

新闻发布系统

nlp

nlp-datasets

A list of datasets/corpora for NLP tasks, in reverse chronological order.

nmt-list

A list of Neural MT implementations

ocr_densenet

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

parkinglotwebservice

智能自助式停车场管理系统 后台web管理服务器 java web项目

permanagement

人事管理OA系统

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

prms

新闻发布管理系统

purchase_sell_stock

进销存管理软件，完成销售管理，采购管理，仓库管理，系统管理和档案信息管理的简单功能，可结合扫描枪使用

pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

pytorch_exercise

qasystemonhepatopathykg

基于neo4j肝病知识图谱的问答系统

qlearning_trading

Learning to trade under the reinforcement learning framework

ram

"Recurrent Models of Visual Attention" in TensorFlow

readstardict

Read stardict with pystardict

recommend-system

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

representation-based-multilabel-learning

Representation based multi label classification with many labels

rnn-for-joint-nlu

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

sa-tensorflow

Soft attention mechanism for video caption generation

safety-helmet-wearing-dataset

Safety helmet wearing detect dataset, with pretrained model

seq2seq

Attention-based sequence to sequence learning

smartoffice

智慧办公室就是以办公室为平台，兼具办公室环境、办公、设备信息化、设 备智能化、考勤自动化、办公智能化，集系统、结构、服务、管理、监督于一体， 具有高效、安全、便利等特点，依托计算机科学以及网络通信技术，将办公与各 种控制子系统灵巧地综合为一个有机体系，形成一个高度集成的有可编程的自动 化环境。智慧办公室项目地址：https://github.com/ECSLab/SmartOffice 智慧图书馆项目地址：https://github.com/ECSLab/SLibrary 《嵌入式系统结构与操作系统》课件地址：https://github.com/ECSLab/MyProject