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Showing 10 open source projects for "folder"
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1
FlyByWire Simulations A32NX
The A32NX & A380X Project are community driven open source projects
...Our custom-built, open-source installer is where we keep our projects for you to easily install. Pick which branch you want to install, and the installer will automatically download it into the proper folder. -
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EEGLAB
EEGLAB is an open source signal processing environment
...It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command line only for Octave). This folder contains original Matlab functions from the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information. All distributed EEGLAB functions (admin, sigproc, pop, misc). -
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A Matlab toolkit for all aspects of EEG/ERP analysis, especially PCA. If you run into a problem, please send me a note and I'll fix it. The tutorial pdf is in the documentation folder and the tutorial data can be downloaded from a link provided by the pdf. The tutorial file has full install instructions. For all platforms supported by Matlab.
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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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5
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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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
...CRF-RNN has been developed as a custom Caffe layer named MultiStageMeanfieldLayer. Usage of this layer in the model definition prototxt file looks the following. Check the matlab-scripts or the python-scripts folder for more detailed examples. -
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Folder
Toolbox for modelling deformation in layered media in 2D
Folder is a tool to simulate and analyse the development of structures in mechanically layered media during layer parallel shortening or extension. It includes a graphical user interface that allows for easy designing of complex geometrical models, defining material parameters (including linear and non-linear rheology), and specifying type and amount of deformation. -
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Vibrato Toolbox
Vibrato Toolbox: Parametric Analysis of Musical Vibrato
... (1) We use some functions in MIR toolbox, please first add in this toolbox to MATLAB: https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox MATLAB/file -> set path add folder /Toolbox/ (and the folder for audio files) hit "save"; "close". (2) please also set the folder "F:\THISFOLDER" with code and audio files as "current directory" so the code can read the audio segment. -
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GPUmat
GPUmat is a C/C++ GPU engine for Matlab based on NVIDIA CUDA.
...Instructions to compile the source code: You need to download a SVN client and then from command line: svn export http://svn.code.sf.net/p/gpumat/code/trunk ./GPUmat the above command creates a folder ./GPUmat with the source code. Then go to the 'doc' folder, open the GPUmat_Developer_Guide.pdf and check the chapter "Source code compilation" -
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10
Stanford Machine Learning Course
machine learning course programming exercise
...The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy for learners to navigate and practice. The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. This collection is valuable for students and practitioners who want to strengthen their skills in machine learning through coding exercises.
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