Flops counter for convolutional networks in pytorch framework
MIT License
PyTorch tutorials and best practices.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xceptio...
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, S...
View model summaries in PyTorch!
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, V...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out...
Toolbox for vision tasks. Pre-trained vision backbones on ImageNet with PyTorch Lightning 🚀
Gluon to PyTorch deep neural network model converter
Model analyzer in PyTorch
An unofficial styleguide and best practices summary for PyTorch
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
Model summary in PyTorch similar to `model.summary()` in Keras
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, e...
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which i...