| 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 |
| qubvel/segmentation_models |
4,514 |
|
12 |
16 |
over 2 years ago |
8 |
January 10, 2020 |
263 |
mit |
Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. |
| 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 |
| kerlomz/captcha_trainer |
2,505 |
|
0 |
2 |
over 3 years ago |
3 |
June 04, 2020 |
59 |
apache-2.0 |
Python |
| [验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model. |
| VainF/Torch-Pruning |
2,035 |
|
0 |
4 |
about 2 years ago |
33 |
November 09, 2023 |
194 |
mit |
Python |
| [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs |