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Ermin_Gong's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

cdbn icon cdbn

Convolutional Deep Belief Networks with 'MATLAB','MEX','CUDA' versions

convnet icon convnet

Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

convnet-1 icon convnet-1

A GPU implementation of Convolutional Neural Nets in C++

convolutionalrbm.m icon convolutionalrbm.m

A MATLAB / MEX / CUDA-MEX implementation of Convolutional Restricted Boltzmann Machines.

cudnn-training icon cudnn-training

A CUDNN minimal deep learning training code sample using LeNet.

deepbench icon deepbench

Benchmarking Deep Learning operations on different hardware

deeplearntoolbox icon deeplearntoolbox

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.

deepmat icon deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepnet icon deepnet

Implementation of some deep learning algorithms.

deepsaldet icon deepsaldet

Source code for our CVPR 2015 work on saliency detection by multi-context deep learning

depth-fields icon depth-fields

Code/Data for our 3DV 2015 paper: "Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging"

fb.resnet.torch icon fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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