Search Results for "gnu/linux" - Page 10
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Showing 821 open source projects for "gnu/linux"
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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ECO
Matlab implementation of the ECO tracker
ECO (Efficient Convolution Operators for Tracking) is a high-performance object tracking algorithm developed by Martin Danelljan and collaborators. It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
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This is a MATLAB model of an end-to-end chain compliant to the DVB-T2 standard (ETSI EN 302 755 available from www.etsi.org). It was originally developed within the DVB consortium (www.dvb.org) by AICIA, BBC, Pace, Panasonic and SIDSA.
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TX-TL modeling toolbox
Modeling and analysis tools for the TX-TL cell-free expression system
This project contains tools for using the TX-TL cell-free expression system. These tools include component models for simulating and analyzing biomolecular circuits, as well tools for composing circuits and creating more complex systems. NOTE: This project has been shifted to GitHub: https://github.com/BuildACell/txtlsim -
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Tensiomet
A MATLAB compatible library for surface stress measurements
Tensiomet is a library of MATLAB functions and procedures that helps to conduct pendant drop measurements and to post process acquired data. Its focus is elastomery, to recover material parameters of elastic interfacial layers. -
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R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN (“Region-based Fully Convolutional Networks”) is an object detection framework that makes almost all computation fully convolutional and shared across the image, unlike prior region-based approaches (e.g. Faster R-CNN) which run per-region sub-networks. The repository provides an implementation (in Python) supporting end-to-end training and inference of R-FCN models on standard datasets. The authors propose position-sensitive score maps to reconcile the need for translation variance... -
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diauxic growth model ensemble
An ensemble of models showing diauxic growth behavior
An ensemble of mathematical model is presented that all show diauxic growth behaviour of a bacterial culture. Carbon catabolite repression (CCR) is the main mechanism controlling carbohydrate uptake in bacteria, and therefore also controlling whether or not different carbon sources are metabolized in parallel or sequentially. Although described as a paradigm of the regulation of bacterial metabolism, the underlying mechanisms remain controversial. The models in the ensemble can... -
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mp3respectr
Weakening effect on the MP3 audio encoder
Weakening effect on the MP3 audio encoder and the assimilation of the spectral characteristics of the source. Produced by applying empirical filter (derived from an analysis of a pair of flac-mp3) to the sound in the space R2. 1) Transfer the sound of the space R to R2 (mp3rsrr2); 2) Finding the empirical filter by OLS pair flac-mp3 (mp3rsols); 3) Apply a filter to the sound (mp3rsvalue); 4) Transfer the sound of the space R2 in space R (mp3rsr2r); -
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EEG Seizure Prediction
Seizure prediction from EEG data using machine learning
The Kaggle-EEG project is a machine learning solution developed for seizure prediction from EEG data, achieving 3rd place in the Kaggle/University of Melbourne Seizure Prediction competition. The repository processes EEG data to predict seizures by training machine learning models, specifically using SVM (Support Vector Machine) and RUS Boosted Tree ensemble models. The framework processes EEG data into features, trains models, and outputs predictions, handling temporal data to ensure accuracy. -
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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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. This is great for embedded... -
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Hole-drilling Eccentricity
Eccentricity correction for the hole drilling strain gauge method
The hole drilling strain gauge method is one of the most utilised techniques to determine residual stresses. The presence of eccentricity between the centre of the hole and its theoretical position can compromise the accuracy of the method. The present work proposes a method to correct the measured strains in eccentric holes in the case of non-uniform residual stresses. The depths where the strains are measured in the ASTM E837-13 are taken as reference and specific functions are proposed to... -
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Heat transfer in a bar and sphere
Heat transfer in a bar and sphere using finite differences.
Simulation of the heat transfer in a bar and a sphere (1D) using finite differences in Matlab. Authors: -Jheyson A. Mogollon R. - jheyson260@gmail.com -Luca Meinardo - lucameinardo@gmail.com -Angie Xiomara González - angiegduque@gmail.com Current Version: 2.0 Date: 30/05/2017 -
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VeriSiMPL
Verification via biSimulations of Max-Plus-Linear models
This toolbox is used to generate finite abstractions of autonomous Max-Plus-Linear (MPL) systems over R^n. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). The LTS finite abstractions are shown to either simulate or to bisimulate the original MPL system. LTS models are to be verified against given specifications expressed as formulae in Linear Temporal Logic (LTL) and Computation Tree Logic (CTL). The toolbox intends to leverage the NuSMV model checker. Models... -
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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. -
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This package includes a collection of MATLAB files which are designed to: 1. Given a calibration scan of the image of a point emitter with an engineered point spread function (PSF), 2. Perform a phase retrieval algorithm based on maximum likelihood estimation (MLE) of a phase aberration term which is added to the theoretical pupil function of the imaging system. 3. Use the phase-retrieved pupil function to perform single-emitter localization. Accompanying publication available here:...
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MicroMos
To automatically obtain mosaics of partially overlapping images.
MicroMos is an open-source software tool written in MATLAB (The MathWorks, Inc., Massachusetts, USA), for automatically obtaining mosaics of partially overlapped images, also manually acquired. It was designed for stitching microscopy images, but thanks to the many parameters available it works also for other types of images. For more details, please, read: a) F. Piccinini, M. Pierini, E. Lucarelli, A. Bevilacqua, Semi-quantitative monitoring of confluence of adherent mesenchymal... -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables... -
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mctc4bmi
Matrix and Tensor Completion for Background Model Initialization
MCTC4BMI (Multimodal Compressed Sensing and Tensor Decomposition for Brain-Machine Interfaces) is a MATLAB toolbox designed to process and analyze EEG data. It applies compressed sensing and tensor decomposition techniques to improve brain-machine interface (BMI) performance. -
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SimilarityViewer
Identify co-occuring genes in cyanobacteria
The SimilarityViewer allows the identification of genes co-occurring in subsets of 77 cyanobacterial organisms. The software is available as a MATLAB script and as stand-alone applications for Mac, Linux, and Windows computers. To install this program download the zip file appropriate for your system, unzip it, and follow the instructions in the README file. SimilarityViewer and the included data are licensed under the Apache License Version 2.0. If you use the SimilarityViewer for scientific purposes please cite the according paper. ... -
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detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
detectMITE - a MATLAB-based tool for detecting miniature inverted repeat transposable elements (MITEs) in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectMITE? Ye C, Ji G, Liang C (2016) detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Sci. Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect... -
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All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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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. -
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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. It could be replaced to the data file of your choice. The code is open source but you are requested to give credits if used....
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Gene-Environment iNteraction Simulator 2
A tool able to simulate gene-environment and gene-gene interactions.
Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the...
