Other Tutorials

• Text Classification using Convolutional Neural Networks
• Variational Auto Encoders
• Convolutional Neural Networks for Classifying Fashion-MNIST Dataset
• Training Cycle-GAN on Horses to Zebras with Nvidia/Apex - logs on W&B
• Another training Cycle-GAN on Horses to Zebras with Native Torch CUDA AMP - logs on W&B
• Finetuning EfficientNet-B0 on CIFAR100
• Hyperparameters tuning with Ax
• Benchmark mixed precision training on Cifar100: torch.cuda.amp vs nvidia/apex

Reproducible Training Examples

Inspired by torchvision/references, we provide several reproducible baselines for vision tasks:

• ImageNet
• Pascal VOC2012

Features:

• Distributed training: native or horovod and using PyTorch native AMP