| 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) |
| shanglianlm0525/PyTorch-Networks |
1,740 |
|
0 |
0 |
over 2 years ago |
0 |
|
36 |
|
Python |
| Pytorch implementation of cnn network |
| YunYang1994/TensorFlow2.0-Examples |
1,692 |
|
0 |
0 |
over 3 years ago |
0 |
|
99 |
mit |
Jupyter Notebook |
| 🙄 Difficult algorithm, Simple code. |
| filipradenovic/cnnimageretrieval-pytorch |
1,174 |
|
0 |
0 |
almost 4 years ago |
0 |
|
31 |
mit |
Python |
| CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch |
| szagoruyko/wide-residual-networks |
1,064 |
|
0 |
0 |
over 6 years ago |
0 |
|
26 |
bsd-2-clause |
Lua |
| 3.8% and 18.3% on CIFAR-10 and CIFAR-100 |
| ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network |
1,017 |
|
0 |
0 |
about 5 years ago |
0 |
|
4 |
|
|
| Tools to Design or Visualize Architecture of Neural Network |
| KaimingHe/resnet-1k-layers |
740 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Lua |
| Deep Residual Networks with 1K Layers |
| JiahuiYu/slimmable_networks |
623 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
other |
Python |
| Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019 |
| szagoruyko/diracnets |
582 |
|
0 |
0 |
almost 8 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Training Very Deep Neural Networks Without Skip-Connections |
| BIGBALLON/CIFAR-ZOO |
575 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch implementation of CNNs for CIFAR benchmark |
