viorik

Pinned Repositories

caffe-float
Language:C++0 2 00
ConvLSTM
Spatio-temporal video autoencoder with convolutional LSTMs
Language:Lua290 19 1985
ConvLSTM_CPU
Language:Lua1 2 23
EllipseFittingGradient
Non-iterative ellipse fitting using positional and tangential constraints
Language:C5 3 02
ELSD
Ellipse and Segment Line Detector
Language:C21 4 012
ELSDc
Ellipse and Line Segment Detector, with Continuous validation
Language:C130 19 452
extracunn
cuda implementations of various layers
Language:Cuda8 3 84
learning_to_execute
Learning to Execute
Language:Lua0 2 01
PracticalSessions-1
Materials for the practical sessions at EEML2019
Language:Jupyter Notebook1 1 00
unsupgpu
cuda implementation of predictive sparse decomposition autoencoder
Language:Lua5 3 87

viorik's Repositories

viorik/ConvLSTM
Spatio-temporal video autoencoder with convolutional LSTMs
Language:Lua290 19 1985
viorik/ELSDc
Ellipse and Line Segment Detector, with Continuous validation
Language:C130 19 452
viorik/ELSD
Ellipse and Segment Line Detector
Language:C21 4 012
viorik/extracunn
cuda implementations of various layers
Language:Cuda8 3 84
viorik/EllipseFittingGradient
Non-iterative ellipse fitting using positional and tangential constraints
Language:C5 3 02
viorik/unsupgpu
cuda implementation of predictive sparse decomposition autoencoder
Language:Lua5 3 87
viorik/ConvLSTM_CPU
Language:Lua1 2 23
viorik/PracticalSessions-1
Materials for the practical sessions at EEML2019
Language:Jupyter Notebook1 1 00
viorik/caffe-float
Language:C++0 2 00
viorik/learning_to_execute
Learning to Execute
Language:Lua0 2 01
viorik/PracticalSessions
Language:Jupyter Notebook2 0
viorik/TMLW2019
2 0
viorik/UnPoolIdx
Perform unpooling using the pooling indices of the corresponding max pooling layer
Language:Lua2 01
viorik/xquad
1 0