huyvnphan/PyTorch_CIFAR10
Pretrained CNN models (VGG, ResNet, DenseNet, MobileNet, GoogleNet, Inception) trained on CIFAR-10 with downloadable weights.
Not currently ranked — collecting fresh signals.
star history
This repository adapts TorchVision’s popular CNN architectures for the CIFAR-10 dataset by modifying input dimensions, filter sizes, strides, and padding to accommodate the 32x32 images and 10 classes. It provides both the training code using PyTorch-Lightning and the trained model weights for immediate use. Supported models include VGG, ResNet, DenseNet, MobileNetV2, GoogleNet, and InceptionV3, with validation accuracies ranging from 92% to 94%.
Frequently asked
- What is huyvnphan/PyTorch_CIFAR10?
- Pretrained CNN models (VGG, ResNet, DenseNet, MobileNet, GoogleNet, Inception) trained on CIFAR-10 with downloadable weights.
- Is PyTorch_CIFAR10 open source?
- Yes — huyvnphan/PyTorch_CIFAR10 is open source, released under the MIT license.
- What language is PyTorch_CIFAR10 written in?
- huyvnphan/PyTorch_CIFAR10 is primarily written in Python.
- How popular is PyTorch_CIFAR10?
- huyvnphan/PyTorch_CIFAR10 has 694 stars on GitHub.
- Where can I find PyTorch_CIFAR10?
- huyvnphan/PyTorch_CIFAR10 is on GitHub at https://github.com/huyvnphan/PyTorch_CIFAR10.