Search Results for "matlab code" - Page 5
Sort By:
Showing 211 open source projects for "matlab code"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
Matlab Toolbox EyeX
Matlab Toolbox for Tobii EyeX Tracker
NEWS Do you want to Eye Movement Analysis? Identify saccades and fixations? Compute the saliency maps? Compute the Main Sequence? A Matlab Toolbox is ready for that: https://sourceforge.net/p/ema-toolbox/ NEWS The toolbox now also works with the EYEX SDK and with Tobii 4C! Just plug it, turn it on (see the red lights) and run the script! CREDITS A. Gibaldi, M. Vanegas, P.J. Bex, G. Maiello. Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research, Behavior Research Methods, 2016 NEWS Want to use the EYEX with Python? ... -
2
GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. ... -
3
HashingBaselineForImageRetrieval
Various hashing methods for image retrieval and serves as the baseline
This repository provides baseline implementations of deep supervised hashing methods for image retrieval tasks using PyTorch. It includes clean, minimal code for several hashing algorithms designed to map images into compact binary codes while preserving similarity in feature space, enabling fast and scalable retrieval from large image datasets. -
4
f2matlab is a fortran90 to Matlab code converter written in Matlab. It accepts fortran90 subroutines or functions and outputs a Matlab *.m file. Most recent version at Matlab's File Exchange.
-
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.
-
5
Ocean Optics Sample Pack
Sample code for Ocean Optics OmniDriver spectrometer device driver
Sample code demonstrating how to use OmniDriver to drive Ocean Optics full range of spectrometers from C, C++, C#, Java, LabVIEW, Delphi, MATLAB and more. -
6
A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables.
-
7
MATLAB code to identify specific colors of your choice in an image, using MATLAB. Visit letsrobo.wordpress.com for detailed working of the code.
-
8
Octave
my octave exercises for 2011 stanford machine learning class
This repository is a personal archive of Octave exercises and assignments for the 2011 Stanford Machine Learning class. The author uses the Octave programming environment (which is similar to MATLAB) to implement the homework assignments (ex1 through ex7), providing code solutions, cheat sheets, and scratch files. Octave / MATLAB code illustrating algorithms taught in the class. Cheat sheet for Octave / MATLAB commands. Readme and licensing information. Octave / MATLAB code illustrating algorithms taught in the class. -
9
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. -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
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... -
11
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. ... -
12
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... -
13
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. -
14
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. ... -
15
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. -
16
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. -
17
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. -
18
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. -
19
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. -
20
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...
-
21
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. -
22
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.
-
23
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...
-
24
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). -
25
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.
