Search Results for "matlab code" - Page 3
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Showing 211 open source projects for "matlab code"
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Hierarchical DP
Source code of DC-HDP
This Matlab code is used for demonstration of the clustering results of DP, LC-DP and DC-HDP. Written by Ye Zhu, Deakin University, May 2021, version 1.0. This software is under GNU General Public License version 3.0 (GPLv3) This code is a demo of method described by the following publication: Zhu, Y., Ting, K.M., Jin, Y. and Angelova, M., 2021, August. -
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CAM
Class Activation Mapping
This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light... -
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I Heart LA
Compilable markdown for linear algebra
I Heart LA is a compilable markdown for math. It can generate working code in your favorite language (C++, Python, MATLAB, more to come) and LaTeX from snippets. -
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vbTRACK_2D
Bayesian analysis of 2D(x,y) time series particle tracks using Matlab.
Matlab program analyzes 2D (xy) time-series data (tracks) by variaional Bayes, hidden Markov, Gaussian mixture pattern recognition pattern recognition methods. It finds the number of states, the position of each state, and assigns each time-point to its most probable specific state. -
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vbtrack
Divide single particle tracks into Brownian and motor-driven intervals
vbtrack is a software package for dividing organelle or particle tracks into Brownian and motor-driven intervals by variational maximization of the Bayesian evidence. Either particle velocity or directional persistence can be used to detect the number of states and the characteristics of each state at each frame of a particle track. -
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chethermo
Software for Introductory Chemical Engineering Thermodynamics
Introductory Chemical Engineering Thermodynamics helps readers master the fundamentals of applied thermodynamics as practice today. The text is distinctive in making the molecular perspectives accessible at the introductory level and connecting properties with practical applications. This site distributes the software for the textbook. If you are a 'user', then you want to download the archive from 'Download' icon or the 'Files' link. If you want the latest version of a particular file,... -
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This Matlab code is used for demonstration of the effect of CDF-TS as a preprocessing method to transform data. Written by Ye Zhu, Deakin University, April 2021, version 1.0. This software is under GNU General Public License version 3.0 (GPLv3) This code is a demo of method described by the following publication: Zhu, Y., Ting, K.M., Carman, M. and Angelova, M., 2021, April.
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MATLAB code for Generalized Approximate Message Passing (GAMP). GAMP is a Gaussian approximation of loopy belief propagation for estimation problems in compressed sensing and other non-Gaussian problems with linear mixing.
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AmPEP and AxPEP
Sequence-based Antimicrobial Peptide Prediction by Random Forest
Antimicrobial peptides (AMPs) are promising candidates in the fight against multidrug-resistant pathogens due to its broad range of activities and low toxicity. However, identification of AMPs through wet-lab experiment is still expensive and time consuming. AmPEP is an accurate computational method for AMP prediction using the random forest algorithm. The prediction model is based on the distribution patterns of amino acid properties along the sequence. Our optimal model, AmPEP with 1:3... -
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transferlearning-tutorial
Tutorial on applied transfer learning
A bilingual (English/Chinese) concise tutorial on applied transfer learning, hosted by Jindong Wang. It includes LaTeX source for a compact handbook covering theory, algorithms, surveys, and code in MATLAB and Python. -
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csmatio
.NET Library for Matlab MAT-files
CSMatIO is a .NET Library to read, write, and manipulate Matlab binary MAT-files written by David Zier. In 2007 he published his code on Matlab Central. As I found his work really useful I decided to provide some fixes, enhancements and support here on SF. -
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GroovyLab
GroovyLab: Effective MATLAB-like scientific programming in Groovy
The GroovyLab environment aims to provide a MATLAB/Scilab like scientific computing platform that is supported by a scripting engine implemented in Groovy language. The GroovyLab user can work either with a MATLAB-like command console, or with a flexible editor based on the rsyntaxarea (http://fifesoft.com/rsyntaxtextarea/) component, that offers more convenient code development. -
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scalalab
A MATLAB like environment for Scala
...The scripting language is based on the Scala programming language enhanced with high level scientific operators and with an integrated environment that provides a MATLAB-like working style. Also, all the huge libraries of Java scientific code can be easily accessible (and many times with a more convenient syntax). TA major design priority of ScalaLab is its user-friendly interface. We like the user to enjoy writing scientific code, and with this objective we design the whole framework. Additional material for the project can be found at the UPDATED github site: https://github.com/sterglee/scalalab/ Documentation The recently published book: Scientific Computing with ScalaLab at the Java Platform Scholars' Press (2017-01-11 ) https://www.morebooks.de/store/gb/book/scientific-computing-with-scalalab-at-the-java-platform/isbn/978-3-659-84599-4 -
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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
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Isolation‐based anomaly detection
Isolation‐based anomaly detection using nearest‐neighbor ensembles
This site provides the source code of Isolation‐based anomaly detection (iNNE). https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12156 Bandaragoda, T.R., Ting, K.M., Albrecht, D., Liu, F.T., Zhu, Y. and Wells, J.R., 2018. Isolation‐based anomaly detection using nearest‐neighbor ensembles. Computational Intelligence, 34(4), pp.968-998. -
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Quadrotor
Quadrotor control, path planning and trajectory optimization
...Run code: change trajectories in file control/runsim.m and run. See quadrotor_dynamics.pdf for dynamic modeling of the quadrotor. See control/controller.m for implementation of the PD controller. Visualization below. Desired (blue) vs Actual (red). -
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Moritz
transfer xml into specific text-formats (html, dot, source-code, ...)
Moritz is an "addon" to the well known tool doxygen. It generates nassi shneiderman diagramms of functions and methods in a c/c++ source as html-files, which could be included in a software-dokumentaion or simple whached by using a html-browser. -
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TMC compiler
Translator from restricted matlab to C
Open-source tool to convert/port/migrate/optimize Octave/MATLAB(R) written projects to C-code. Consists of C-code generator and run-time support library. Support a subset of MATLAB (R) language and an extendable set of in-build functions. Git Repository: https://github.com/csafonov/tinymc -
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Isolation Similarity
aNNE similarity based on Isolation Kernel
Demo of using aNNE similarity for DBSCAN. Written by Xiaoyu Qin, Monash University, March 2019, version 1.0 This software is under GNU General Public License version 3.0 (GPLv3) This code is a demo of method described by the following publication: Qin, X., Ting, K.M., Zhu, Y. and Lee, V.C., 2019, July. Nearest-neighbour-induced isolation similarity and its impact on density-based clustering. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp.... -
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SAR Synthetic Aperture Radar
Collection of MATLAB codes, simulations, and summaries
This repository is a collection of MATLAB codes, simulations, and summaries related to Synthetic Aperture Radar (SAR), InSAR, and PolSAR. The author compiled implementations of classic SAR imaging algorithms (e.g. Range-Doppler (RD) algorithm, Chirp Scaling (CS) algorithm), synthetic scenes, InSAR (interferometric) simulation including multiple terrain types (flat, conical), and polarization calibration techniques (Whitt, PARC, Quegan, Ainsworth). The readme states that these were... -
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ebfformat
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. ... -
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Machine Learning Homework
Matlab Coding homework for Machine Learning
The Machine-Learning-homework repository by user “Ayatans” is a collection of MATLAB code intended to solve or illustrate assignments in machine learning courses. It includes implementations of standard machine learning algorithms (such as regression, classification, etc.), scripts for data loading and preprocessing, and evaluation routines (e.g. accuracy, error metrics). Because it is structured as homework or practice material, the code is likely intended more for didactic use than for production deployment. ... -
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Tiny
Tiny Face Detector, CVPR 2017
...The code depends on MatConvNet, which must be compiled (with GPU / CUDA / cuDNN support) for full performance. Pretrained model provided (ResNet101-based, plus alternatives). Demo and evaluation scripts for benchmark datasets. Use of “foveal descriptors” to incorporate context for low-resolution faces. Pretrained model provided (ResNet101-based, plus alternatives). -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry. -
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PsPM
A matlab suite for Psycho-Physiological Modelling
PsPM is a powerful tool for psychophysiological modelling. It includes linear convolution models and non-linear models for SCR, and allows for modelling of other signals, too. 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 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...
