Examples

First two examples use FFCV to train machine learning models to illustrate its ease of use as well as the significant gains in speed. The next two examples cover how to use custom transforms in data loaders.

Finally, we provide a self-contained example repository for training ImageNet quickly and accurately.

• Training CIFAR-10 in 36 seconds on a single A100
• Large-Scale Linear Regression
• Fast custom image transforms
• Custom transforms with indices
• ImageNet Fast Training