| leaderj1001/Attention-Augmented-Conv2d |
363 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
mit |
Python |
| Implementing Attention Augmented Convolutional Networks using Pytorch |
| hanxiao/tf-nlp-blocks |
231 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
mit |
Python |
| Some frequently used NLP blocks I implemented |
| yoshall/GeoMAN |
95 |
|
0 |
0 |
almost 7 years ago |
0 |
|
8 |
mit |
Python |
| Tensorflow Implement of GeoMAN, IJCAI-18 |
| liuxinhai/Point2Sequence |
22 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
other |
Python |
| Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network |
| xchadesi/GeoMAN |
22 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
|
Python |
| a easy pytorch implement of GeoMAN |
| LeviBorodenko/garnn |
20 |
|
0 |
0 |
over 6 years ago |
6 |
January 02, 2020 |
0 |
mit |
Python |
| TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019. |
| LeviBorodenko/dgcnn |
13 |
|
0 |
0 |
about 6 years ago |
3 |
February 02, 2020 |
0 |
mit |
Python |
| Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018). |
| SongleChen2015/VERAM |
9 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
|
Lua |
| FengZhenhua/DAC-CSR |
8 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
apache-2.0 |
Matlab |
| Dynamic Attention Controlled Cascaded Shape Regression (DAC-CSR) for Facial Landmark Localisation |
| danfischetti/shape-classifier |
8 |
|
0 |
0 |
over 10 years ago |
0 |
|
1 |
|
Python |
| Classifies 3D meshes taken from the princeton shape benchmark |
