Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
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Structured Edge Detection Toolbox
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
Python implementation of the Short Term Objective Intelligibility measure
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
TUM Roborace Team Software Stack - Vehicle Simulation
Instructions for building an almost consumer hardware based prototype of a hearing aid
- hearing
- hearing-aids
- signal-processing
- jack
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Histology Topography Cytometry Analysis Toolbox