| DropEdge/DropEdge |
399 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
mit |
Python |
| This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification |
| PRBonn/bonnetal |
167 |
|
0 |
0 |
over 5 years ago |
0 |
|
10 |
mit |
Python |
| Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn |
| ViTAE-Transformer/ViTAE-VSA |
158 |
|
0 |
0 |
7 months ago |
0 |
|
2 |
|
Python |
| The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers" |
| PramuPerera/DeepOneClass |
125 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
lgpl-3.0 |
Python |
| Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results. |
| bl0/negative-margin.few-shot |
99 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
other |
Python |
| PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification” |
| ViTAE-Transformer/QFormer |
73 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
mit |
Python |
| The official repo for [Arxiv'23] "Vision Transformer with Quadrangle Attention" |
| lopuhin/kaggle-kuzushiji-2019 |
66 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Kaggle Kuzushiji Recognition: 2nd place solution |
| wbw520/MTUNet |
20 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
|
Python |
| MTUNet: Few-shot Image Classification with Visual Explanations |
| core-ml/coreml |
14 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| Generic framework for ML projects |
| TengdaHan/ActionClassification |
10 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Python |
| Video action classification benchmark for common CNN architectures, implemented in PyTorch |
