Search Results for "matlab linux" - Page 7
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Showing 942 open source projects for "matlab linux"
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent,... -
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NTU RGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action... -
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SciXMiner
Open-Source MATLAB toolbox for multidimensional data mining
SciXMiner is a versatile MATLAB toolbox for the analysis of multidimensional data. It is the successor of Gait-CAD (https://sourceforge.net/projects/gait-cad/). -
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WAV.jl
Julia package for working with WAV files
This is a Julia package to read and write the WAV audio file format. WAV provides wavread, wavwrite and wavappend functions to read, write, and append to WAV files. The function wavplay provides simple audio playback. These functions behave similarly to the former MATLAB functions of the same name. -
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Matlab m files are provided to follow simulation studies provided in Doan et al. "Applications of Coarse-Grained Models in Metabolic Engineering", Frontiers in Molecular Biosciences, 2022.
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ROBOOP
Object oriented library in C++ for robotics simulation
This library (ROBOOP) is a C++ robotics object oriented programming toolbox suitable for synthesis, and simulation of robotic manipulator models in an environment that provides ``MATLAB like'' features for the treatment of matrices. Its is a portable tool that does not require the use of commercial software. A class named Robot provides the implementation of the kinematics, the dynamics and the linearized dynamics of serial robotic manipulators. A class named Stewart provides the... -
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NASA T0TEM
Calculate ASTM E1921 master curve and transition temperature.
T0 Test Evaluation Module (T0TEM) V1.5 calculates the ASTM E1921-19b master curve and T0 temperature for ferritic steels in the ductile-brittle transition region. It creates all required plots for the basic master curve and the inhomogeneity annex. Output is delivered via table or CSV and plots exported as picture files. The program is coded in MATLAB 2021a using App Designer. Use of T0TEM V1.5 is possible without a MATLAB license by utilizing the free MATLAB Runtime Version 9.10. This... -
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GFtbox is a Matlab package for simulating biological growth of leaves, petals, and similar organs.
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DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN
This repository implements DnCNN (“Deep CNN Denoiser”) from the paper “Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising”. DnCNN is a feedforward convolutional neural network that learns to predict the residual noise (i.e. noise map) from a noisy input image, which is then subtracted to yield a clean image. This formulation allows efficient denoising, supports blind Gaussian noise (i.e. unknown noise levels), and can be extended to related tasks like image... -
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Scala3Lab
A MATLAB like environment for Scala 3
The Scala3Lab project aims to provide an efficient scientific programming environment for the Java Virtual Machine. The scripting language is based on the Scala3 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). The main potential of the Scala3Lab is numerical code speed and... -
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IdleX - IDLE Extensions for Python
IDLE Extensions
A collection of extensions for Python's IDLE, the Python IDE built with the tkinter GUI toolkit. -
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adcptools
Set of functions to process acoustic Doppler current profiler data
adcptools is a set of Matlab functions to post-process acoustic Doppler current profiler data. It consists of several low-level function to read out data files and several functions to process data from repeat transect measurements, moored turbulence measurements and horizontal ADCP deployments. -
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PsyExTool
psychophysical experiment control, data collection and visualization
PsyExTool is a Psychophysical Experiment Toolbox in Matlab/Octave dedicated to control experiment, collect and visualize data. PsyExTool is aimed to create a tool that enables to couple the methods with visual or audio stimulus presentation modules. At present the program allows to use adjustment, constant stimulus and adaptive PSI psychophysical methods. The parameters of the stimulus and psychophysical method is adjusted in a single graphical user interface. The responses are collected... -
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BRAIN
BRAIN - Ultrasonic Array Data Acquisition and Processing Platform
BRAIN is a software platform for ultrasonic array data acquisition and processing, written by the Ultrasonics and Non-Destructive Testing (NDT) group at the University of Bristol, UK. BRAIN is particularly designed around Full Matrix Capture (FMC) for NDT applications. BRAIN is written in Matlab and requires a Matlab installation (the standalone version of BRAIN is no longer supported). -
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Hysteresis
Preisach type hysteresis models implemented in Matlab.
The Preisach function is considered as a product of two special one dimensional functions, which allows the analytical evaluation of the Everett integral. The derived expressions are included in static and dynamic hysteresis models, which are fast enough to be incorporated in electromagnetic software. If you find the codes usefull, please cite the following papers: [1] Zs. Szabó, J. Füzi, "Implementation and Identification of Preisach type Hysteresis Models with Everett Function in... -
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RESTAMP
Microbial division rate and death rate estimates.
RESTAMP - Rate Estimates By Sequence Tag Analysis of Microbial Populations, is an analytical framework for estimating microbial division rates and death rates. It consists of Matlab based software for producing founder population size values from next-generation sequencing data. It also includes scripts that implements the equations that determine the rates from CFU and founder population size values. -
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MarsBaR is a Matlab toolbox for analyzing image data within Regions of Interest (ROIs). Its current home is on Github: see http://marsbar-toolbox.github.io/marsbar
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VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM
This repository is a voice activity detection (VAD) toolkit that implements multiple models (DNN, bDNN, LSTM, ACAM) for detecting speech versus non-speech in audio. It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. Acoustic feature extraction (multi-resolution cochleagram, MRCG). Post-processing modules (e.g. smoothing, thresholds). The toolkit supports both MATLAB and Python/TensorFlow components (for... -
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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. Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Information Systems. The preprint... -
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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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For a paper accepted in "Metabolic Engineering", Matlab files to reproduce all simulations and figures are provided here. Included are the source files for the data sets that are used for the simulation. The publication can be found here: https://authors.elsevier.com/sd/article/S1096-7176(21)00105-1 Please note that files are updated in June 2021, the current zip file is named: "Counting_strategy_Ecoli_AKremling_June2021"
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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.
