For small to mid-sized landlords and property managers
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Landlords, multi-family homes, manufactured home communities, single family homes, associations, commercial properties and mixed portfolios.
Rent Manager is award-winning property management software built for residential, commercial, and short-term-stay portfolios of any size. The program’s fully customizable features include a double-entry accounting system, maintenance management/scheduling, marketing integration, mobile applications, more than 450 insightful reports, and an API that integrates with the best PropTech providers on the market.
Effective Linear Algebra and Computer Vision Library with JAVA
...- Vision:
It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining.
stocleka is a project divided into a UI and a library for cleaning user stories and converting them to arff files (used for Weka). it may be mainly used for research and scientific purposes.
Excel to Arff converter. You can easily convert the excel datas will be used data mining process to arff file format and then easily analyze your datas and results using WEKA Data Mining Utility.
PDMGE is a software developed for predicting CpG loci and genomic region methylation status. The software is based on Weka project,which extends WEKA to promoter the development of epigenetics. Users should prepare genomic and epigenomic features.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.