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Matlab code of machine learning algorithms in book PRML
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 …
R-CNN: Regions with Convolutional Neural Network Features
Ensemble of Exemplar-SVMs for Object Detection and Beyond
Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015
NCTOOLBOX A Matlab toolbox for working with common data model datasets
A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering
Matlab Environment for Deep Architecture Learning
Neural Processing Matlab Kit is a set of functions for loading and manipulating data from Blackrock Microsystems' data files (.CCF, .NEV, .NSx).
Generic version of WHO for object detection with LDA models
information-theoretic Spike-Triggered Average and Covariance (iSTAC) estimator for receptive fields