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cas

Jasig CAS - Single Sign On for the Web

codis

Proxy based Redis cluster solution supporting pipeline and scaling dynamically

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

easyzoom

EasyZoom is an elegant, highly optimised jQuery image zoom and panning plugin based on the original work by Alen Grakalic. EasyZoom supports touch-enabled devices and is easily customisable with CSS.

entropy

Retail management system

estatio

Estatio Open Source Estate Management built on Apache Isis

headposeestimation-whenet

ichingpractise

jbpm-designer

Web-based BPMN2.0 Designer for jBPM

langhua

linguist

Language Savant. If your repository's language is being reported incorrectly, send us a pull request!

myscriptjs

:pencil2: :cloud: MyScriptJS is the fastest way to integrate rich handwriting recognition features in your webapp.

ofbiz-framework

Mirror of Apache OFBiz Framework

ofbiz-plugins

Mirror of Apache OFBiz Plugins

opencms

opencms-core

The Java open source content management system by Alkacon Software

py3tnn

Python3 lib for Tencent TNN

redisson

Redisson - distributed Java objects and services (Set, Multimap, SortedSet, Map, List, Queue, BlockingQueue, Deque, BlockingDeque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Executor service, Tomcat Session Manager, Scheduler service, JCache API) on top of Redis server. Rich Redis client

spring-framework

Spring Framework

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.