| 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. |
| qubvel/segmentation_models |
4,514 |
|
12 |
16 |
about 2 years ago |
8 |
January 10, 2020 |
263 |
mit |
Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. |
| 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) |
| jolibrain/deepdetect |
2,492 |
|
0 |
0 |
over 2 years ago |
0 |
|
92 |
other |
C++ |
| Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE |
| hujie-frank/SENet |
2,322 |
|
0 |
0 |
about 7 years ago |
0 |
|
13 |
apache-2.0 |
Cuda |
| Squeeze-and-Excitation Networks |
| facebookresearch/ResNeXt |
1,652 |
|
0 |
0 |
about 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 |
about 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 |
| 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 |
| qubvel/classification_models |
706 |
|
8 |
4 |
about 6 years ago |
6 |
October 04, 2019 |
11 |
mit |
Python |
| Classification models trained on ImageNet. Keras. |
