Search Results for "gnu/linux" - Page 9
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Showing 821 open source projects for "gnu/linux"
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MatlabFunc
Matlab codes for feature learning
MatlabFunc is a collection of MATLAB functions developed by the ZJULearning group to support various tasks in computer vision, machine learning, and numerical computation. The repository brings together a wide range of utility scripts, algorithms, and implementations that serve as building blocks for research and development. These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research... -
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MIMO OFDM
MATLAB implementation source code accompanying the book MIMO-OFDM
This repository contains the MATLAB implementation source code accompanying the book “MIMO-OFDM 无线通信技术及 MATLAB 实现” (MIMO-OFDM Wireless Communication Technology and MATLAB Implementation). The repository is structured to match chapters in the book, providing code for topics such as OFDM basics, MIMO channel models, channel estimation, PAPR, spatial multiplexing, diversity techniques, etc. It helps readers replicate examples in the textbook and test MATLAB simulations of wireless communication... -
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Clustering by Shared Subspaces
Grouping Points by Shared Subspaces for Effective Subspace Clustering
These functions implement a subspace clustering algorithm, proposed by Ye Zhu, Kai Ming Ting, and Mark J. Carman: "Grouping Points by Shared Subspaces for Effective Subspace Clustering", Published in Pattern Recognition Journal at https://doi.org/10.1016/j.patcog.2018.05.027 -
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A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
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Toolbox
Piotr's Image & Video Matlab Toolbox
Piotr’s Image & Video MATLAB Toolbox is a general-purpose MATLAB toolbox for image and video processing and vision tasks, offering utilities, filters, detection, feature extraction, and algorithm building blocks. Example and demo scripts for usage (e.g. acfReadme, detector readmes). It augments MATLAB’s native capabilities (not replacing the Image Processing Toolbox) by providing efficient, reusable wrappers and optimized routines. Example and demo scripts for usage (e.g. acfReadme, detector... -
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Dynamic Linkage
Dynamic Linkage Social Aggregation Model
This project will create a user-friendly modeling system for studying animal social aggregations. The model codifies the a new hypothesis that the animal's state, kinematics, and the group's emergent properties are dynamically linked together, with each one affecting the others. The model will be constructed using Object-Oriented MatLab. -
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Detect and Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
Detect-Track is the official implementation of the ICCV 2017 paper Detect to Track and Track to Detect by Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman. The framework unifies object detection and tracking into a single pipeline, allowing detection to support tracking and tracking to enhance detection performance. Built upon a modified version of R-FCN, the code provides implementations using backbone networks such as ResNet-50, ResNet-101, ResNeXt-101, and Inception-v4, with... -
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BWTT
BIOTACT Whisker Tracking Tool
The BWTT is an artefact of the EU Framework 7 Project BIOTACT 215910. It is an extensible software framework that runs under Matlab (Mathworks, TM) providing for the computation of whisker tracking algorithms for small mammal observation. Other tracking algorithms (e.g. snout tracking) can also be included. The software is released with a number of algorithms included, allowing rapid whisker tracking with no other software required (other than Matlab). -
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DL For Monaural Source Separation
Deep Recurrent Neural Networks for Source Separation
Deep Recurrent Neural Networks for Source Separation. -
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Invariant curve calculations in Matlab
Calculating stable & unstable curves for 2 dimensional maps in matlab.
This is an implementation that follows closely the algorithm for calculating stable curves, described by J. P. England, B. Krauskopf, H. M. Osinga in the paper "Computing One-Dimensional Stable Manifolds and Stable Sets of Planar Maps without the Inverse" published in SIAM J. APPLIED DYNAMICAL SYSTEMS 3.2 (2004), 161-190. The package also contains an implementation for calculating the unstable curves which is based on the paper "Growing 1D and Quasi-2D Unstable Manifolds of Maps" by Bernd... -
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The purpose of the Freely Moving Animal (FMA) Toolbox is to help analyze electrophysiological and behavioral data recorded from freely moving animals.
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation... -
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UmUTracker
A MATLAB program for 2D particle tracking or 3D DHM based tracking.
We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug... -
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Ctrax is a machine vision program for estimating the positions and orientations of many walking fruit flies, maintaining their individual identities over long periods of time with minimal supervision, and on average for 1.5 fly-hours automatically.
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This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
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EigenMS is a normalization method implemented in R (and older version in Matlab) available as a set of two functions that should be used in a sequence. Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them. EigenMS eliminates effects from known and unknown factors and can be...
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The purpose of this program is to provide the user with a convenient algorithm for automatic Independent Component (IC) selection with respect to the contributions of the ICs to a certain event-related brain potential (ERP). www.jan-wessel.de
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BioRec:Bird Census field data annotation
Recognizing biological data from a notebook.
This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis. -
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Qu is a MATLAB toolbox for the visualization and analysis of N-dimensional datasets targeted to the field of biomedical imaging. It supports several microscopy image formats and offers a plugin mechanism and a consistent API for easy extension.
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Deep Photo Style Transfer
Code and data for paper "Deep Photo Style Transfer"
Deep Photo Style Transfer is an implementation of the algorithm described in the paper “Deep Photo Style Transfer” (arXiv 1703.07511). The software allows users to transfer the style of one photograph to another while preserving photorealism and semantic consistency. It relies on semantic segmentation masks to guide style transfer (so that e.g. sky maps to sky, building maps to building), and uses a matting Laplacian regularization term to ensure smooth transitions. The repository provides... -
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PSIworx
Data processing for the PSI fluorometer
PSIworxR (R) and PSIworx (MATLAB) are a collection of functions and scripts to analyze data from the PSI SuperHead Fast Fluorometer series (www.psi.cz). These fluorometers are used in limnology and oceanography research communities. The program retrieves parameters from single turnover induction and relaxation. Results are returned as text files and PDF figures. -
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AnalyzeNNLS
MRI Multiple Echo T2 Analysis
Users load multiecho MRI data and draw ROIs. AnalyzeNNLS creates a T2 distribution from the averaged decay data. Regional fractions and geometric T2 times can be determined. Please reference: Bjarnason TA, Mitchell JR. JMR 206:200-4 (2010). Temporal Phase Correction included in version 2.5. If you use this functionality, please reference: Bjarnason TA, Laule C, Bluman J, Kozlowski P. JMR 232:22-31 (2013). -
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This is a public repository for the Accelerator Toolbox, Matlab based accelerator physics code.
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Chebfun
Chebfun: numerical computing with functions
Chebfun is a MATLAB-based system for numerical computing with functions instead of just numbers. It represents functions using Chebyshev polynomial approximations and allows users to perform operations like differentiation, integration, root finding, and solving ODEs using symbolic-like syntax. Chebfun simplifies working with continuous mathematics using high-accuracy numerical techniques.
