Add ResNet-18 CIFAR-100
Browse files- README.md +0 -1
- cifar100-resnet18/cifar100-resnet18-0-1023.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-2048-3071.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-3072-4095.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-4096-5119.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-5120-6143.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-6144-7167.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-7168-8191.tgz +3 -0
- cifar100-resnet18/cifar100-resnet18-8192-9215.tgz +3 -0
README.md
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@@ -18,7 +18,6 @@ Just untar the desired models. This will create a new folder containing the mode
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### TorchUncertainty
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To load or train models, start by downloading [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) - [Documentation](https://torch-uncertainty.github.io/).
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-
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Install the desired version of PyTorch and torchvision, for instance with:
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```bash
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### TorchUncertainty
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To load or train models, start by downloading [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) - [Documentation](https://torch-uncertainty.github.io/).
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Install the desired version of PyTorch and torchvision, for instance with:
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```bash
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cifar100-resnet18/cifar100-resnet18-0-1023.tgz
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cifar100-resnet18/cifar100-resnet18-2048-3071.tgz
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cifar100-resnet18/cifar100-resnet18-3072-4095.tgz
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cifar100-resnet18/cifar100-resnet18-4096-5119.tgz
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cifar100-resnet18/cifar100-resnet18-5120-6143.tgz
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cifar100-resnet18/cifar100-resnet18-6144-7167.tgz
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cifar100-resnet18/cifar100-resnet18-7168-8191.tgz
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cifar100-resnet18/cifar100-resnet18-8192-9215.tgz
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