Cifar 10
PyTorch Implementation of CIFAR-10 Image Classification Pipeline Using VGG Like Network
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Cifar | 5,131 | a year ago | 103 | mit | Python | |||||
| 95.47% on CIFAR10 with PyTorch | ||||||||||
| Pytorch Playground | 2,366 | 2 years ago | 9 | mit | Python | |||||
| Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) | ||||||||||
| Pytorch Vgg Cifar10 | 191 | 5 years ago | 4 | mit | Jupyter Notebook | |||||
| This is the PyTorch implementation of VGG network trained on CIFAR10 dataset | ||||||||||
| Chainer Cifar10 | 132 | 6 years ago | 3 | Python | ||||||
| Various CNN models for CIFAR10 with Chainer | ||||||||||
| Pytorch Image Classification | 124 | 7 months ago | 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。 | ||||||||||
| Pruning_filters_for_efficient_convnets | 121 | a year ago | 2 | Jupyter Notebook | ||||||
| PyTorch implementation of "Pruning Filters For Efficient ConvNets" | ||||||||||
| Ghostnet_cifar10 | 42 | 4 years ago | 7 | Python | ||||||
| ghostnet_cifar10 | ||||||||||
| Pytorch Nn Practice | 33 | 5 years ago | 1 | mit | Python | |||||
| 💩 My pytorch neural network practice repo | ||||||||||
| Cifar10 Vgg19 Tensorflow | 23 | 6 years ago | 2 | Jupyter Notebook | ||||||
| Keras Cifar10 | 19 | 6 years ago | 1 | Jupyter Notebook | ||||||
| practice on CIFAR10 with Keras | ||||||||||
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Python
Deep Learning
Pytorch
Validation
Image Classification
Vgg
Augmentation
Cifar10