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Sergey Demyanov's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

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.

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.

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

illustrationgan icon illustrationgan

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

neuraltalk2 icon neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

tensorflow icon tensorflow

Open source software library for numerical computation using data flow graphs.

tensorflow-worklab icon tensorflow-worklab

This set of files is an example of how to use Tensorflow for importing and retraining an existing model, such as ResNet. The goal of this example is to separate all functionality on several classes, so it is easy to modify the parameters and run the models, while still having all code not too deep inside.

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