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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Chebfun: numerical computing with functions.
Fashion Detection in the Wild (Deep Clothes Detector)
- computer-vision
- deep-learning
- clothes-detection
- clothes-detector
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
- hdr
- tone-mapping
- inverse-tonemapping
- tonemapping
Python implementation of the Short Term Objective Intelligibility measure
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.