Category matlab

DeepLearnToolbox

DeepLearnToolbox

2487 0,2,8,0,4,0,24,3

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.

rcnn

rcnn

774 0,1

R-CNN: Regions with Convolutional Neural Network Features

MemNN

MemNN

729 0,0,1,1,0

Memory Networks implementations

pmtk3

pmtk3

716 0,1

Probabilistic Modeling Toolkit for Matlab/Octave.

faster_rcnn

faster_rcnn

707

Faster R-CNN

Image-feature-detection-using-Phase-Stretch-Transform

Image-feature-detection-using-Phase-Stretch-Transform

697 0,0,0,0,1,0

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

CAM

CAM

678

Class Activation Mapping

BPL

BPL

614

Bayesian Program Learning model for one-shot learning

matlab2tikz

matlab2tikz

414 0,0

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

deep-photo-styletransfer

deep-photo-styletransfer

403

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

ICNet

ICNet

379

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

siamese-fc

siamese-fc

373

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