sssohrab
Postdoctoral fellow, convolutional engineer, deep unsupervised representation learner, generative modeler, machine teacher and practitioner
School of Business Informatics @ HES-SO SwitzerlandGeneva, Switzerland
Pinned Repositories
ct-classification-graphs
Classification of hierarchical text using graph deep learning
DSW2018
image_utilities
Collection of basic functions used for image processing and feature detection
kymatio
Wavelet scattering transforms in Python with GPU acceleration
nn_helpers
pytorch utility functions
PhDthesis
The materials related to my PhD thesis.
PRIMIS
Privacy Preserving Image Sharing
rho_VAE
rho_VAE: an autoregressive parametrization of the VAE encoder
sparse_ternary_networks
A package for compressive representation of vectorial data- Application in ANN search and unsupervised learning
sparsifying_groups_imAmbiguation
ICASSP'20: Implementations and experiments for "Privacy-preserving Image sharing via sparsifying layers on convolutional groups"
sssohrab's Repositories
sssohrab/rho_VAE
rho_VAE: an autoregressive parametrization of the VAE encoder
sssohrab/sparsifying_groups_imAmbiguation
ICASSP'20: Implementations and experiments for "Privacy-preserving Image sharing via sparsifying layers on convolutional groups"
sssohrab/ct-classification-graphs
Classification of hierarchical text using graph deep learning
sssohrab/PhDthesis
The materials related to my PhD thesis.
sssohrab/DSW2018
sssohrab/image_utilities
Collection of basic functions used for image processing and feature detection
sssohrab/kymatio
Wavelet scattering transforms in Python with GPU acceleration
sssohrab/nn_helpers
pytorch utility functions
sssohrab/sparse_ternary_networks
A package for compressive representation of vectorial data- Application in ANN search and unsupervised learning
sssohrab/PRIMIS
Privacy Preserving Image Sharing
sssohrab/antialiased-cnns
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
sssohrab/extension-cpp
C++ extensions in PyTorch
sssohrab/faiss
A library for efficient similarity search and clustering of dense vectors.