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-api

「一个」、「Time 时光」、「开眼」、「一席」、「梨视频」、「微软必应词典」、「金山词典」、「豆瓣电影」、「**天气」、「魅族天气」、「每日一文」、「12306」、「途牛」、「快递100」、「快递」应用 Api。仅供学习，禁止商业使用，侵权请联系删除。

android-cleaner

aws_dynamo

AWS DynamoDB Library for C and C++

azure-docs

Open source documentation of Microsoft Azure

caffe

Caffe: a fast open framework for deep learning.

crazywords

darknet

Convolutional Neural Networks

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

elasticsearch

Open Source, Distributed, RESTful Search Engine

fasttext

Library for fast text representation and classification.

fenxiang

芬香社交电商攻略邀请码Y5C5WA

html5-clear-v2

HTML5 Clear version 2

indonesian-postag

POS Tag for Bahasa Indonesia

indonesian_stemmer

Porter Stemmer for Bahasa Indonesia

indonesianstemmer

Simple Indonesian stemmer based on: http://www.illc.uva.nl/Research/Reports/MoL-2003-02.text.pdf

jsonserver

kcws

Deep Learning Chinese Word Segment

lightlda

Scalable, fast, and lightweight system for large-scale topic modeling

ltecleanerfoss

The last Android cleaner you'll ever need!

malaya

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

minpy

NumPy interface with mixed backend execution

open_nsfw

code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models

openrtb

OpenRTB model for Java and other languages via protobuf; Helper OpenRTB libraries for Java including JSON serialization

openrtb2x

Up to date reference impl of the latest spec (2.0) of OpenRTB

paddle

PArallel Distributed Deep LEarning

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pythainlp

Thai Natural Language Processing in Python.

scikit-learn

scikit-learn: machine learning in Python

smartcropper

🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框，手动调节选区，使用透视变换裁剪并矫正选区；适用于身份证，名片，文档等照片的裁剪。

solandra

Solandra = Solr + Cassandra