Search Results for "loading"

Fatlab is a fatigue post processor which takes results from FE analyses and combine those with load-time series in order to perform a detailed fatigue assessment of a component. It handles both multiaxiality through the critical plane method and non-linear FE models.

FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness.

...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 recognition dataset, RGB, depth, infrared, skeletal data. Split into background / evaluation sets for one-shot evaluation (in the extended dataset).

The Machine-Learning-homework repository by user “Ayatans” is a collection of MATLAB code intended to solve or illustrate assignments in machine learning courses. It includes implementations of standard machine learning algorithms (such as regression, classification, etc.), scripts for data loading and preprocessing, and evaluation routines (e.g. accuracy, error metrics). Because it is structured as homework or practice material, the code is likely intended more for didactic use than for production deployment. It may contain comments, example datasets, and perhaps test scripts. The repository does not seem to be heavily maintained as a software project; rather, it functions as a library of solved problems and educational examples. ...

...The method is designed to detect tiny faces (i.e. very small-scale faces) by combining multi-scale context modeling, foveal descriptors, and scale enumeration strategies. It provides training/testing scripts, a demo (tiny_face_detector.m), model loading, evaluation on WIDER FACE, and supporting utilities (e.g. cnn_widerface_eval.m). The code depends on MatConvNet, which must be compiled (with GPU / CUDA / cuDNN support) for full performance. Pretrained model provided (ResNet101-based, plus alternatives). Demo and evaluation scripts for benchmark datasets. Use of “foveal descriptors” to incorporate context for low-resolution faces. ...

DeepLearnToolbox is a MATLAB / Octave toolbox for prototyping deep learning models. It provides implementations of feedforward neural networks, convolutional neural networks (CNNs), deep belief networks (DBNs), stacked autoencoders, convolutional autoencoders, and more. The toolbox includes example scripts for each method, enabling users to quickly experiment with architectures, training, and inference workflows. Although it's been flagged as deprecated and no longer actively maintained, it...

SpikeAnalyzer is a semiautomatic program for analysis of calcium spikes in cardiac myocytes created in the MATLAB environment. The analysis parameters are automatically initialized upon loading the electrophysiological and confocal data in their respective proprietary formats (confocal data - .tif, electrophysiological data – .abf ver. 2.0). The analysis starts with interactive selection of spike positions and determining their temporal fluorescence profiles. The data approximation uses an automatic fitting procedure with visual control over the process and the quality of the fit, including statistical measures. ...