| XingangPan/GAN2Shape |
552 |
|
0 |
0 |
almost 3 years ago |
0 |
|
34 |
mit |
Python |
| Code for GAN2Shape (ICLR2021 oral) |
| anilbas/3DMMasSTN |
194 |
|
0 |
0 |
almost 8 years ago |
0 |
|
5 |
apache-2.0 |
Matlab |
| MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN) |
| lzx551402/geodesc |
176 |
|
0 |
0 |
almost 5 years ago |
0 |
|
5 |
mit |
Python |
| Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints |
| utiasSTARS/bingham-rotation-learning |
134 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty. |
| ispgroupucl/layer-rotation-paper-experiments |
44 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Code for reproducing results of the paper "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?" |
| lucidrains/geometric-vector-perceptron |
29 |
|
0 |
0 |
almost 5 years ago |
11 |
June 08, 2021 |
0 |
mit |
Python |
| Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021 |
| vandit15/Self-Supervised-Gans-Pytorch |
28 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss" |
| TLESORT/Continual_Learning_Data_Former |
28 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| A pytorch compatible data loader to create sequence of tasks for Continual Learning |
| javiabellan/deep-learning |
27 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| 🦅 Deep Learning awesome cheatsheet |
| AI-secure/semantic-randomized-smoothing |
20 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
|
Roff |
| [CCS 2021] TSS: Transformation-specific smoothing for robustness certification |
