Search Results for "classification" - Page 19
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Showing 576 open source projects for "classification"
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
...Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. ... -
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CoVEC
Consensus Variant Effect Classification
The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the... -
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This project is about converting a Wave file into MIDI and extracting the notes out of it. This project is done as a final year project of Computer Science and Engineering Department, University of Moratuwa.
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This repository stores the public code and executable binaries of the Economically Enhanced Resource Manager (EERM) Simulator, coded as part of my research in Market-based Cloud Computing ( http://mario.site.ac.upc.edu ).
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multipsq
Analysis of pyrograms form multiplex pyrosequencing experiments
...These primers generate a fingerprint-pyrogram which is constituted by the sum of all individual pyrograms originating from each primer used. MultiPSQ allows the analysis and classification of multiplex-pyrograms originating from various pyrosequencing primers. -
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MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm. -
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CS-AMPPred
The Cysteine-Stabilized Antimicrobial Peptides Predictor
This program reads a fasta file specified by -i option, then, converts it to SVM Light format, further runs the classification module of SVM Light and then evaluate the predictions. The support vector machine models were based on 310 antimicrobial peptide sequences extracted from antimicrobial peptides database and 310 non-antimicrobial peptide sequences extracted from protein data bank. The system's accuracy is 90% by using the polynomial model (default). -
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Averaged N-Dependence Estimators - AnDE
AnDE implements A1DE and A2DE
Averaged N-Dependence Estimators (A1DE and A2DE) achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see, G. Webb, J. -
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FCC DNS Grade
A sample program to evaulate the level of DNS service from Resolver
FCC has classified DNS resolver into few broad categories this is the "official" program to perform that classification. This is almost complete version of the command line tool. Stay tuned for an applet version -
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Workflow implemented in Windows Azure (Microsoft public cloud) to run knowledge-based analysis of the zeolite structure classification and prediction.
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Hary
Biblioteconomy software.
Cocoa utility for the classification of books, with a simple GUI -
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TPPS is a toolkit to make parallelized parameter scans of TMVA methods (regression and classification) using a batch system like LSF Batch. It is intended to be very simple, such that the user can easily modify it and dapt it to his or her needs.
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HeroCraftAbilities
HeroCraft Abilities Using the CraftBukkeit Plugin
HeroCraft Abilities Using the CraftBukkeit Plugin for Minecraft This is to include Spell casting for wizard type and priest type spells. These spells are to use spheres and schools to manage classification and to allow restricted use of abilities for game balance. Ather Abilities will also include turn of the undead, etc. Mana will be used to manage wizard power and spell casting. Karma will be used to manage Priest power and spell casting. All abilities will impact karma in one way or another. . -
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Averaged N-Dependence Estimators (A1DE and A2DE) achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see, G. Webb, J.
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Ontology_jewerly
classification of stones
Ontology includes the classification of stones of E.Y. Kievlenko based on value of jewel -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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Stockato API
Signal classification technology for mutual funds, ETFs, and stocks.
Stockato Web Services (SWS) is a collection of remote computing services, which apply Stockato’s signal classification technology to mutual funds, exchange-traded-funds, and stocks. You can build applications based on the web services such as a similarity-based search engine or a similarity-based portfolio managing system. -
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Crusisx
hi
ncryption is controlled under U.S. Export Control Classification Number "ECCN" 5D002 and must be simultaneously reported by email to th -
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CRUMp
A probabilistic prediction system of protein phosphorylation sites
CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format. -
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Jnews on SVM
Jnews is for judging the classification of news.
Jnews is for judging the classification of news on websites. The model of 1.0 version is based on SVM theory and the news data of NYtimes during April of 2012. -
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Iris
Iris is a web based bayes data classifier.
...The window helps using a small dataset and emulate more samples. The future versions will make an option to upload the dataset and select the features to help researchers select the best features for data classification. -
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ANDS SISS (DC4B) Project
GIS-Enabled Infrastructure for Spatially Integrated Social Science
An on-line GIS-enabled infrastructure for spatially integrated social science. A web-based open source e-research facility for social-spatial data analysis that incorporates GIS-enabled visualisation (mapping and classification) and statistical modelling capabilities. -
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy... -
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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X. -
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Time Adaptive Self-Organizing Map
An Artificial Neural Network for Clustering, Classification, etc
This project tries to include Time Adaptive Self-Organizing Map (TASOM) implementations for solving Computational Intelligence problems such as Pattern Recognition, Computer Vision, Clustering, Active Contour Modeling, and the like. The TASOM has been originally introduced for adaptive and changing environments. Several versions of TASOM networks have been introduced. Some of them are capable of changing the number of neurons based on the problems at hand. Moreover, a binary tree version...
