ignite

Allows attaching any function as a handler without inheritance, as shown in examples using lambda functions and class methods for unparalleled flexibility.

Includes over 20 metrics for tasks like classification and regression, with easy composition using arithmetic operations, demonstrated in the F1 score example.

Enables defining custom events beyond standard training steps, such as backward pass events, for fine-grained control over processes like optimization.

Facilitates distributed training with native PyTorch or Horovod, and supports mixed precision training, as highlighted in the key features.