| kuangliu/pytorch-cifar |
5,131 |
|
0 |
0 |
about 3 years ago |
0 |
|
103 |
mit |
Python |
| 95.47% on CIFAR10 with PyTorch |
| aaron-xichen/pytorch-playground |
2,366 |
|
0 |
0 |
over 3 years ago |
0 |
|
9 |
mit |
Python |
| Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) |
| chengyangfu/pytorch-vgg-cifar10 |
191 |
|
0 |
0 |
almost 7 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| This is the PyTorch implementation of VGG network trained on CIFAR10 dataset |
| mitmul/chainer-cifar10 |
132 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Python |
| Various CNN models for CIFAR10 with Chainer |
| Kedreamix/Pytorch-Image-Classification |
124 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| 用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。 |
| tyui592/Pruning_filters_for_efficient_convnets |
121 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| PyTorch implementation of "Pruning Filters For Efficient ConvNets" |
| TingsongYu/ghostnet_cifar10 |
42 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
|
Python |
| ghostnet_cifar10 |
| Armour/pytorch-nn-practice |
33 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Python |
| 💩 My pytorch neural network practice repo |
| deep-diver/CIFAR10-VGG19-Tensorflow |
23 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| jerett/Keras-CIFAR10 |
19 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| practice on CIFAR10 with Keras |
