Search Results for "java machine learning library" - Page 24
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Showing 926 open source projects for "java machine learning library"
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SuRankCo
Supervised Ranking of Contigs in de novo Assemblies
SuRankCo is a machine learning based software to score and rank contigs from de novo assemblies of next generation sequencing data. It trains with alignments of contigs with known reference genomes and predicts scores and ranking for contigs which have no related reference genome yet. For more details about SuRankCo and its functioning, please see "SuRankCo: Supervised Ranking of Contigs in de novo Assemblies" Mathias Kuhring, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y.... -
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Elastic Management of Tasks in Virtualized Environments is in charge of managing virtual machines created in Xen by creating full customized virtual machines and allowing executing tasks inside this.
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Drug Extraction
Drug name extraction
Drug name recognition and normalisation/grounding to DrugBank ids and standard names. Package provides 2 taggers: 1. DrugTagger - CRF-based with DrugBank presence feature (see feature set for details). 2. DrugnameGazetteer - gazetteer/dictionary-based. Dictionary created from DrugBank.ca database. Both taggers include grounding/normalisation to DrugBank ids and standard names. Feature set: Word, Word-1, Word+1, Word-1_Word, Word_Word+1, DrugBankPresence, POS DrugBankPresence... -
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Roccomaniac
A Java learning Project with libgdx
This is at first a Java learning Project. Whenever something like a success arrives, it will be a spacelike 2D multiplayer Shooting-Game. -
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LexSub
A Lexical Substitution Framework
Lexical substitution framework for supervised all-words lexical substitution using delexicalized features. For a runnable (but GPL-licensed) version of LexSub, see LexSub-GPL (sf.net/p/lexsub/lexsub-gpl) -
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p-TAREF
Plant miRNA target prediction tool
Developed by Dr Ravi Shankar (Corresponding author) and Ashwani Jha @ SCBB, CSIR-IHBT. p-TAREF stands for plant TARget REFiner. It identifies plant microRNA targets on the basis of multiple feature information. Read more http://www.biomedcentral.com/1471-2164/12/636 Query, comment etc please mail any one of us @ ashwanijha.bioinfo@gmail.com or ravish9@gmail.com -
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Vitral SDK (Vitral Software Development Kit) is a java based software architecture for the development of computer graphics applications. Supports solid modeling, offline and JOGL rendering, animation/simulation and human-machine interaction.
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Pioneer University/College System
The state of art college management system
PSRMS is a state of art, scalable,secure and mature web based college/university management system that automate the college or university core business processes. The system is used to automatic learning institutions' business processes ranging from admission(manual and online) to enrollment to registration to finance to online payment and student online-registration. Its a distributed system that allows for a number of member of staff to access it at the same time , anywhere... -
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WinFolderPath is a Java library used to find a CSIDL identified path on a Windows Machine such as My Pictures, My Music and more. WinFolderPath uses a Native dll interface to obtain the path. WinFolderPath is both 32 bit JVM and 64 bit JVM compatible.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gen3D
A tool for 3D genome and chromosome structural model construction
Gen3D is an application designed to determine three-dimensional genome and chromosome models. It uses chromosomal contact data to construct three-dimensional conformations. This method can generate three-dimensional chromosomal models satisfying a large portion of chromosomal contacts. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. The project... -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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The fast x86 PC emulator in 100% pure Java
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libVMR
VMR - machine learning library
libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). ... -
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MODLEM
rule-based, WEKA compatible, Machine Learning algorithm
This project is a WEKA (Waikato Environment for Knowledge Analysis) compatible implementation of MODLEM - a Machine Learning algorithm which induces minimum set of rules. These rules can be adopted as a classifier (in terms of ML). It is a sequential covering algorithm, which was invented to cope with numeric data without discretization. Actually the nominal and numeric attributes are treated in the same way: attribute's space is being searched to find the best rule condition during rule... -
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Intelligent Keyword Miner
Intelligent SEO keyword miner and predicing tool
THIS IS A NETBEANS 8.02 PROJECT ENGLISH ONLY This program was made to help me with the patent research. It simply generates the search keywords, based on your upvotes or a downvotes of the input parameters. It can accept a text or URL (text takes a prescedence over the URL). If you input URL, it goes to a page, and learns its text from HTML format. This program is intelligent as it predicts what you may want to search next, based on your personal trends. After searching the... -
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Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to... -
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Clustering Variation looks for a good subset of attributes in order to improve the classification accuracy of supervised learning techniques in classification problems with a huge number of attributes involved. It first creates a ranking of attributes based on the Variation value, then divide into two groups, last using Verification method to select the best group.
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HyperVM
HyperVM Virtual Machine Hosting Panel
HyperVM is a multi-tiered, multi-server, multi-virtualization software product allowing a VPS vendor to provision, manage and delegate Xen or OpenVZ based virtual private servers. HyperVM allows users to manage VPS' across multiple servers transparently: it provides a mechanism to manage their networking configuration (IP address, gateway) from the control panel itself, and has a full-fledged IP address pool to facilitate large scale management. HyperVM also comes integrated with Kloxo... -
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Appliance Usage Model Manager
A tool to extract and handle appliance usage models
The appliance usage model manager is a tool that can be used to model device demand by means of machine learning and data mining techniques. We propose a general purpose interface to handle such kind of models, which is used to query various types of models which can be learned from energy consumption datasets. The tool provides a hub where models can be loaded and used in the HEMS market simulator. Please check the documentation in the file section if you want to get further information... -
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Chordalysis
Log-linear analysis (data modelling) for high-dimensional data
===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures,... -
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Freestyle Learning (FSL) and Open University Support System (OpenUSS) are specifications for Learning Content System (LCS) and Learning Management System (LMS). They provide J2SE, J2ME and J2EE reference implementations on those specifications.
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LWPR
Locally Weighted Projection Regression (LWPR)
...A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [2] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). More details and usage guidelines on the code website. -
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RuleRule
A puzzle game of rules acting upon rules. Create the desired pattern.
RuleRule is a game which might be of interest to students and researchers of AI, machine learning and related areas. In this game, rules act and modify other rules (including themselves). The goal is to reach a desired condition (e.g. a checkerboard of red and yellow). Versions For a first test of the game mechanics in your browser, download the Javascript version, coded by Jan-Hendrik Vienup (December 2014, GPL) tested with Firefox, MSIE, Chrome, and Safari : RuleRule3.zip First created with NeXT Interface Builder and Objective-C files (1995, Mach OS): rulerule.gz (Creative Commons Attribution License). ... -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and... -
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A complete school management system from registration, classes, students, teachers, to payment, news day to day operations. Teachers can easily communicate with their students through the system. Major e-learning capabilities are provided.
