A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility deep-neural-networks computer-vision pytorch knowledge-distillation cifar10 dark-knowledge model-
I changednumber of class, filter size, stride, and paddingin the the original code so that it works with CIFAR-10. I also share theweightsof these models, so you can just load the weights and use them. The code is highly re-producible and readable by using PyTorch-Lightning. ...
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset - GitHub - chengyangfu/pytorch-vgg-cifar10: This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
PyTorch 1.0+ torchvision matplotlib numpy 安装依赖 pip install torch torchvision matplotlib numpy 克隆仓库 您可以使用以下命令克隆此仓库: # 使用HTTPS git clone https://github.com/l14666/vgg16-cifar10.git # 或使用SSH(推荐) git clone git@github.com:l14666/vgg16-cifar10.git 使用方法 训练模型 ...
one pixel attack on cifar10 by pytorch. Contribute to zhhiyuan/Pixel-Attack development by creating an account on GitHub.
An implementation of Denoising Diffusion Probabilistic Models for image generation written in PyTorch. This roughly follows the original code by Ho et al. Unlike their implementation, however, my model allows for class conditioning through bias in residual blocks. Experiments I have trained the model ...
A DCGAN built on the CIFAR10 dataset using pytorch DCGAN is one of the popular and successful network designs for GAN. It mainly composes of convolution layers without max pooling or fully connected layers. It uses convolutional stride and transposed convolution for the downsampling and the upsamp...
CenterLoss在数据集(MNIST、CIFAR10、CIFAR100)上Pytorch实现 Apr 1, 2024 img3 CenterLoss在数据集(MNIST、CIFAR10、CIFAR100)上Pytorch实现 Apr 1, 2024 img4 CenterLoss在数据集(MNIST、CIFAR10、CIFAR100)上Pytorch实现 Apr 1, 2024 README.md
95.47% on CIFAR10 with PyTorch. Contribute to kuangliu/pytorch-cifar development by creating an account on GitHub.
You can simply use the pretrained models in your project withtorch.hubAPI. It will automatically load the code and the pretrained weights from GitHub (If you cannot directly access GitHub, please checkthis issuefor solution). importtorchmodel=torch.hub.load("chenyaofo/pytorch-cifar-models","cif...