bearpaw/pytorch-classification
A PyTorch library for training and evaluating CNN image classifiers on CIFAR and ImageNet benchmarks.
Not currently ranked — collecting fresh signals.
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Provides implementations of modern CNN architectures (ResNet, DenseNet, WideResNet, ResNeXt, VGG) with unified training interfaces, multi-GPU support, and training visualization tools. Includes benchmark results on CIFAR-10, CIFAR-100, and ImageNet datasets.
Frequently asked
- What is bearpaw/pytorch-classification?
- A PyTorch library for training and evaluating CNN image classifiers on CIFAR and ImageNet benchmarks.
- Is pytorch-classification open source?
- Yes — bearpaw/pytorch-classification is open source, released under the MIT license.
- What language is pytorch-classification written in?
- bearpaw/pytorch-classification is primarily written in Python.
- How popular is pytorch-classification?
- bearpaw/pytorch-classification has 1.7k stars on GitHub.
- Where can I find pytorch-classification?
- bearpaw/pytorch-classification is on GitHub at https://github.com/bearpaw/pytorch-classification.