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DeLTA Toolbox: a deep learning toolbox for Pytorch
A toolbox for Deep Learning with Pytorch at ONERA
education
Deep Learning Classes - January
Course, ONERA, 2017
These full-day seminars are intended to give understanding of the key-concepts of machine learning and deep learning to an audience of engineers and research scientists. They are organized as a half-day tutorial to give theoretical basics and a half-day workshop with invited talks about more applied topics.
Deep Learning Classes - June
Course, ONERA, 2017
These full-day seminars are intended to give understanding of the key-concepts of machine learning and deep learning to an audience of engineers and research scientists. They are organized as a half-day tutorial to give theoretical basics and a half-day workshop with invited talks about more applied topics.
publications
SHREC’17: Deformable Shape Retrieval with Missing Parts
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR, 2017
Download here
SHREC’17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys
Published in 10th Eurographics workshop on 3D Object retrieval, 3DOR, 2017
Download here
Autoencodeurs pour la visualisation d’images hyperspectrales
Published in XXV colloque Gretsi, 2017
Download here
ShaResNet: reducing residual network parameter number by sharing weights
Published in Arxiv, 2017
Download here
Deep sequence-to-sequence neural networks for ionospheric activity map prediction
Published in Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017
Download here
SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics
Published in Workshop 3D Reconstruction Meets Semantics (3DRMS), ICCV, 2017
Download here
Forecasting ionospheric Total Electron Content maps with deep neural networks
Published in Big Data from Space (BIDS), ESA Workshop, 2017
Download here
Deep sequence-to-sequence neural networks for ionospheric activity map prediction
Published in ICONIP, 2017
Download here
SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks
Published in Computer and Graphics, 2017
Download here