Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 2
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Showing 192 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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Ultrashort Pulse Propagator
A powerful simulation for designing femtosecond lasers and amplifiers.
...Disclaimer: The simulation code is provided free of charge for the use of the academic community only. We kindly ask the users to acknowledge use of the code in academic settings. We do not accept responsibility for any errors or omissions that may be present. Çağrı Şenel, Punya Prasanna Paltani, Fatih Ömer Ilday -
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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ESP3
Fisheries acoustics data processing software
...The software allows calibration and echo-integration and a number of algorithms are coded in, including bad pings identification, automated bottom detection, single targets identification and tracking, schools identification, etc. Installation instructions and more informations can be found here: https://sourceforge.net/p/esp3/wiki/ESP3/ # Contacts Yoann Ladroit, NIWA Yoann.ladroit@niwa.co.nz Pablo Escobar-Flores, NIWA Pablo.Escobar@niwa.co.nz -
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xfemm
Cross platform electromagnetics finite element analyisis based on FEMM
Cross platform electromagnetics finite element analysis code, with very tight integration with Matlab/Octave. Development of xfemm now takes place on Github here: https://github.com/REOptimize-Systems/xfemm xfemm is a refactoring of the core algorithms of the popular Windows-only FEMM (Finite Element Method Magnetics, www.femm.info) to use only the standard template library and therefore be cross-platform. -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies. Non-maximum suppression and bounding box regression at each stage. ... -
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Spheroid_segmentation
Deep learning networks for spheroid segmentation
To accelerate the analysis of tumors' spheroids, different deep learning networks were trained to automatize the segmentation process. The code provides the trained networks based on Vgg16, Vgg19, ResNet18, and ResNet50 ready to be used for segmentation purposes. It also provides Matlab functions ready to be used to train new networks, segment new images, and measure the quality of the training using different quantitative parameters. -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
...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, packaged software tool. Documentation across languages and frameworks. Continuously updated by the author. -
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ReViSP
ReViSP, a 3D volume rendering MATLAB tool for multicellular spheroids
Reconstruction and Visualization from a Single Projection (ReViSP) tool: a 3D volume rendering method we developed to reconstruct the 3D shape of multicellular spheroids, besides estimating the volume by counting the voxels (3D pixels) fully included in the 3D surface. ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements for running ReViSP from the source code: MATLAB 2020a and Image Processing Toolbox 11.1 or later versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. Computer Methods and Programs in Biomedicine, 118(2):95–106, 2015. ... -
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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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Virtual Reflectometer
Simulates basic reflectometer scans with X ray tracing.
...The pogram serves as an educational tool for explaining alignment and for a proper overillumination correction of XRR data. !!Paper will be referenced!!. VR can be run by code in Matlab or as a standalone app. It's not necessary to have Matlab installed on your computer if you want to use the standalone app (Download button). You can find a documentation in the wiki tab. The program is freshly released. So feedback is very welcome in order to improve it. You can write a discussion entry in the wiki tab or write me a mail to elias.hils@uni.kn -
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RenewNet Foundry
Building blocks for the renewable energy industry.
RenewNet Foundry is a repository for an integrated set of simulation components for system simulation of wind, wave and tidal energy systems. -
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DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN
...This formulation allows efficient denoising, supports blind Gaussian noise (i.e. unknown noise levels), and can be extended to related tasks like image super-resolution or JPEG deblocking in some variants. The repository includes training code (using MatConvNet / MATLAB), demo scripts, pretrained models, and evaluation routines. Single model handling multiple noise levels. -
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Stoner-Wohlfarth hysteresis
Hysteresis of ellipsoidal single domain ferromagnetic particle.
...Zsolt Szabó, Amália Iványi, Preisach Type Bulk Vector Hysteresis Model from Generalized Elementary Vector Hysteresis Operators In: Preisach Memorial Book: Hysteresis models in mathematics, physics and engineering. 211 p. Budapest: Akadémiai Kiadó, 2005. pp. 77-88. Developed by: Dr. Zsolt Szabó These softwares are "as-are" and carries no warranty. They can be used under GNU licence without restriction for research and education purposes. Bug reports: Szabó Zsolt, szabo.zsolt@itk.ppke.hu Updated: February 17, 2017. -
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VRN
Code for "Large Pose 3D Face Reconstruction
The VRN (Volumetric Regression Network) repository implements the “Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression” method. Instead of explicitly fitting a 3D model via landmark estimation and deformation, VRN treats the reconstruction task as volumetric segmentation: it learns a CNN to regress a 3D volume aligned to the input image, and then extracts a mesh via isosurface from that volume. The network is unguided (no 2D landmarks as intermediate).... -
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PsyExTool
psychophysical experiment control, data collection and visualization
...At the end of the session, the data can be stored or exported for further analysis. The structure of the program may incorporate and combine additional methods for data collection and stimuli presentation. The code is under MIT license. Comments and questions are welcome. -
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CAM
Class Activation Mapping
...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 modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class. -
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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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chethermo
Software for Introductory Chemical Engineering Thermodynamics
...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, then use the 'Code' link and look in the 'trunk' folder for the main development and 'branches' for any side projects. Please note that the 'Files' releases are periodic, and that the 'Code' files may contain development files or code that is different from the 'Files' content. -
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DCT
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK. -
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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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...The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. By leveraging CNN architectures, the project showcases how learned embeddings can capture semantic similarity across varied images. This resource serves as both an educational reference and a foundation for further exploration in image retrieval research.
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ANDTool
Analysis Nuclei DAB (AND) Tool
...The tool requires as input the original RGB images, and the FastRed, FastBlue, DAB channel, easily obtained using the Fiji function: "ImageJ" -> "Image" -> "Colour Deconvolution" -> "FastRed FastBlue DAB" Then, the tool first segment the nuclei using the FastBlue channel and the DAB channel, and then computes statistics by subdividing the sample in three regions according to the FastRed channel: a dark-red ROI, a light-pink ROI and a white ROI. ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. USER MANUAL: see the specific PDF available in the Files section. REQUIREMENTS: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. MAIN CONTACT: Filippo Piccinini (E-mail: filippo.piccinini85@gmail.com) -
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Robotics Toolbox for MATLAB
Robotics Toolbox for MATLAB
This toolbox brings robotics-specific functionality to MATLAB, exploiting the native capabilities of MATLAB (linear algebra, portability, graphics). The Toolbox uses a very general method of representing the kinematics and dynamics of serial-link manipulators as MATLAB® objects – robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well-known robots from Kinova, Universal Robotics, Rethink as well as classical robots such as the... -
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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‐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.
