Pinned Repositories
blocks
A Theano framework for building and training neural networks
blocks-examples
Examples and scripts using Blocks
blocks-extras
A collection of extensions to the Blocks framework
CUDA-FC-Measures
Zero-lag correlation for voxel level fMRI data
dl4mt-material
GroundHog
Library for implementing RNNs with Theano
libORF
A machine learning library focused on deep learning
rmn
subword-nmt
Subword Neural Machine Translation
zemberekMorphTR
Wrapper for zemberek morphology tool
orhanf's Repositories
orhanf/libORF
A machine learning library focused on deep learning
orhanf/zemberekMorphTR
Wrapper for zemberek morphology tool
orhanf/dl4mt-material
orhanf/blocks-examples
Examples and scripts using Blocks
orhanf/CUDA-FC-Measures
Zero-lag correlation for voxel level fMRI data
orhanf/GroundHog
Library for implementing RNNs with Theano
orhanf/rmn
orhanf/subword-nmt
Subword Neural Machine Translation
orhanf/blocks
A Theano framework for building and training neural networks
orhanf/blocks-extras
A collection of extensions to the Blocks framework
orhanf/combiner
orhanf/configs
orhanf/cs231
orhanf/domain_adapt
orhanf/fuel
A data pipeline framework for machine learning
orhanf/libRNN
library implementing recurrent neural network using theano
orhanf/mtUtils
orhanf/ntn
orhanf/orhanf
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
orhanf/orhanf.github.io
Code that'll help you kickstart a personal website that showcases your work as a software developer.
orhanf/picklable_itertools
itertools. But picklable.
orhanf/pixel-cnn
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
orhanf/preProcessIWSLT14TR
orhanf/rtlwifi_new
A repo for the newest Realtek rtlwifi codes.
orhanf/selector
orhanf/summerschool2015
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
orhanf/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
orhanf/theano_multi_gpu
orhanf/tr-en-edu
orhanf/trainingRNNs