Search Results for "matlab code" - Page 6
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Showing 247 open source projects for "matlab code"
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1
Engine Emissions & Uncertainty Analysis
Internal combustion engine emissions and uncertainty analysis
This is an open source computer code that was designed to conduct emissions calculations and uncertainty analysis from steady-state internal combustion engine experiments. The code is available in LabView and MATLAB. The LabView code does not conduct uncertainty analysis. Only the MATLAB code conducts uncertainty analysis. The LabView code was designed to be integrated into the test cell and be used in real time while the engine is running. -
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Density-ratio based clustering
Discovering clusters with varying densities
This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying... -
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SMeagol
Simulated single molecule microscopy.
SMeagol is a software suite for simulation of live cell single molecule microscopy, mainly aimed at single particle tracking applications. The code uses a combination of Matlab and compiled C++ executables, and runs on linux, windows and mac. Installation instructions, system requirements, and many more details can be found in the manual. If you use SMeagol for in your research, please cite Lindén, M., V. Ćurić, A. Boucharin, D. Fange, and J. Elf. Simulated single molecule microscopy with SMeagol. ... -
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . Since this software is licensed... -
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LAML:Linear Algebra and Machine Learning
A stand-alone Java library for linear algebra and machine learning
...The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code. -
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Forager1.0
Software to aid in teaching programming.
...This software is designed to facilitate this, even for students with relatively little computational experience and sophistication. Forager is designed to run under both MATLAB and Octave (see below). The educational goal helped shape the software in a number of ways. First, the code is easily readable, as it is stored in a plain text format. Second, the code is also heavily commented upon, hopefully to make understanding it relatively straightforward. Third, the code has been written with an eye to comprehensibility. ... -
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Netvlad
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets. -
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MetricTens: Crystallography
GUI that enables crystallographic computations for all seven crystal s
...To view code, check MATLAB File Exchange Standalone Versions available for both WINDOWS and MAC. No MATLAB required. -
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BPL
Bayesian Program Learning model for one-shot learning
...The repository contains code for parsing stroke sequences, fitting motor programs, exemplar generation, classification, re-fitting, and demonstration scripts. -
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PyPES Library
Library of analytic potential energy surfaces
The PyPES library is a python-based library of high quality semi-global potential energy surfaces for 50 molecules, each containing 3-6 atoms. The PyPES code enables the generation of energy derivatives to 6th order about any point on the potential energy surface in a range of common coordinate systems, including curvilinear internal, Cartesian and normal mode coordinates. For portability, FORTRAN, C, MATLAB and Mathematica wrappers are provided to interface with PyPES, reading in PyPES-generated Cartesian and normal mode derivative data via a text interface. -
11
classify-20-NG-with-4-ML-Algo
Problem involves classifying 20000 messages into different 20 classes
...Out of all the methods, SVM using the Libsvm [1] produced the most accurate and optimized result for its classification accuracy for the 20 classes. All the algorithm implementation was written Matlab. Download the code and Report here. -
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Problem Description: 20 newsgroup Classification problem Bayesian learning for classifying net news text articles: Naive Bayes classifiers are among the most successful known algorithms for learning to classify text documents. We will provide a data set containing 20,000 newsgroup messages drawn from the 20 newsgroups. The dataset contains 1000 documents from each of the 20 newsgroups. 1. For classes descriptions, please refer Table 6.3 of Dr. Mitchell's book (Machine Learning, Tom...
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Java Library for Machine Learning
A pure Java library for machine learning
JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java. Please be noted that JML has been replaced by LAML. -
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This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.
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This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...
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IDL2Matlab is an Automatic translation tool from an IDL program into Matlab and Scilab code. We do not guaranty a 100% conversion efficiency.
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EpidermalERKMAPK
Scripts for Modelling Human Epidermal ERK-MAPK Activation
...This package includes: - MATLAB code containing the model definition, together with a script to perform non-linear least squares optimisation for a subset of parameters - python scripts which use libSBML to create an SBML representation of the model - SED-ML scripts which execute the SBML model under a range of conditions, produce output plots to recapitulate results shown in Cursons et al. (2015). -
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ObjectDetector
Car Detection,Face Detectiom,Object Detection
Machine learning: This project is used for training new object like Car,Motor Cycle and so on and we use this model(xml file) for detecting in images.In this project we use viola jones algorithm. -
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Vibrato Toolbox
Vibrato Toolbox: Parametric Analysis of Musical Vibrato
.... (1) We use some functions in MIR toolbox, please first add in this toolbox to MATLAB: https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox MATLAB/file -> set path add folder /Toolbox/ (and the folder for audio files) hit "save"; "close". (2) please also set the folder "F:\THISFOLDER" with code and audio files as "current directory" so the code can read the audio segment. -
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SCRalyze
A matlab environment for model-based psychophysiology
SCRalyze is a powerful tool for model-based analysis of psychophysiological signals, using linear convolution models and dynamic causal modelling. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM (formerly SCRalyze) has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this... -
21
ParsNIP
Parser for PTRAC files produced by MCNP
ParsNIP takes the ascii PTRAC files produced with MCNP radiation transport code and parses into a one-line = one-event format which can then be further processed in MATLAB, Excel etc. if necessary. -
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ApproxAdderLib
Library of Approximate Adders
We provide MATLAB and Verilog Models of GeAr, and previously proposed adders (ACA-I, ETAII, ACA-II and GDA) at http://sourceforge.net/projects/approxadderlib/ GeAr is a low latency Generic Accuracy Configurable Adder that provides a higher number of potential configurations compared to state-of-the-art approximate adders, thus enabling a high degree of flexibility and trade-off between performance and output quality. -
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GeoStrain
Geodynamic strain analysis software
...The advantage of the software is that it can optionally consider the effect of vertical velocity on the strain rates. This is principally important for areas where the vertical velocity is the major signal compared to horizontal velocity. Note: A revised code for functionality on MATLAB 2024a for Macs is available at: https://zenodo.org/records/16950985 (thanks to Dr. Sarah Stamps for sharing the code). -
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nn22 Basic Neural Networks for Octave
Simple .m files, Basic Neural Networks study for Octave (or Matlab)
--> For a more detailed description check the README text under the 'Files' menu option :) The project consists of a few very simple .m files for a Basic Neural Networks study under Octave (or Matlab). The idea is to provide a context for beginners that will allow to develop neural networks, while at the same time get to see and feel the behavior of a basic neural networks' functioning. The code is completely open to be modified and may suit several scenarios. The code commenting is verbose, and variables and functions do respect English formatting, so that code may be self explanatory. ... -
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SSM Building-Evaluating-Reconstructing
Statistical Shape Model building
this MATLAB code is a useful software to build Statistical Shape Model, computing its measures and reconstructing a new valid shape.
