| Cadene/pretrained-models.pytorch |
8,094 |
|
52 |
42 |
almost 5 years ago |
16 |
October 29, 2018 |
91 |
bsd-3-clause |
Python |
| Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. |
| facebookresearch/ResNeXt |
1,652 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
other |
Lua |
| Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks |
| bearpaw/pytorch-classification |
1,244 |
|
0 |
0 |
over 5 years ago |
0 |
|
30 |
mit |
Python |
| Classification with PyTorch. |
| soeaver/caffe-model |
1,238 |
|
0 |
0 |
about 8 years ago |
0 |
|
28 |
mit |
Python |
| Caffe models (including classification, detection and segmentation) and deploy files for famouse networks |
| qubvel/classification_models |
706 |
|
8 |
4 |
about 6 years ago |
6 |
October 04, 2019 |
11 |
mit |
Python |
| Classification models trained on ImageNet. Keras. |
| facebookresearch/OctConv |
532 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
mit |
Python |
| Code for paper |
| AllentDan/LibtorchSegmentation |
465 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
C++ |
| A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now. |
| prlz77/ResNeXt.pytorch |
388 |
|
0 |
0 |
almost 6 years ago |
0 |
|
6 |
mit |
Python |
| Reproduces ResNet-V3 with pytorch |
| machine-perception-robotics-group/attention_branch_network |
236 |
|
0 |
0 |
almost 4 years ago |
0 |
|
5 |
mit |
Python |
| Attention Branch Network (CIFAR100, ImageNet models) |
| titu1994/Keras-ResNeXt |
219 |
|
0 |
0 |
about 5 years ago |
0 |
|
6 |
mit |
Python |
| Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+. |
