Category matlab

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.

R-CNN: Regions with Convolutional Neural Network Features

Memory Networks implementations

Probabilistic Modeling Toolkit for Matlab/Octave.

Faster R-CNN

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp tran

Class Activation Mapping

Bayesian Program Learning model for one-shot learning

This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.