| qubvel/segmentation_models.pytorch |
8,226 |
|
2 |
49 |
over 2 years ago |
13 |
September 19, 2019 |
27 |
mit |
Python |
| Segmentation models with pretrained backbones. PyTorch. |
| Cadene/pretrained-models.pytorch |
8,094 |
|
52 |
42 |
over 4 years ago |
16 |
October 29, 2018 |
91 |
bsd-3-clause |
Python |
| Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. |
| kuangliu/pytorch-cifar |
5,131 |
|
0 |
0 |
about 3 years ago |
0 |
|
103 |
mit |
Python |
| 95.47% on CIFAR10 with PyTorch |
| Lyken17/pytorch-OpCounter |
4,368 |
|
3 |
71 |
over 2 years ago |
49 |
September 07, 2022 |
71 |
mit |
Python |
| Count the MACs / FLOPs of your PyTorch model. |
| NVIDIA-AI-IOT/torch2trt |
4,267 |
|
0 |
0 |
over 2 years ago |
0 |
|
320 |
mit |
Python |
| An easy to use PyTorch to TensorRT converter |
| weiaicunzai/pytorch-cifar100 |
3,687 |
|
0 |
0 |
over 2 years ago |
0 |
|
53 |
|
Python |
| Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet) |
| sovrasov/flops-counter.pytorch |
2,606 |
|
5 |
19 |
about 2 years ago |
20 |
October 27, 2023 |
30 |
mit |
Python |
| Flops counter for convolutional networks in pytorch framework |
| gpleiss/efficient_densenet_pytorch |
1,462 |
|
0 |
0 |
almost 3 years ago |
0 |
|
12 |
mit |
Python |
| A memory-efficient implementation of DenseNets |
| bearpaw/pytorch-classification |
1,244 |
|
0 |
0 |
about 5 years ago |
0 |
|
30 |
mit |
Python |
| Classification with PyTorch. |
| lxztju/pytorch_classification |
1,055 |
|
0 |
0 |
about 3 years ago |
0 |
|
39 |
mit |
Jupyter Notebook |
| 利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码 |
