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Models

Examples for the Models module offered in Avalanche

Avalanche offers basic support for defining your own models or adapt existing PyTorch models with a particular emphasis on model adaptation over time.

You can find examples related to the models here:

Using PyTorchCV pre-trained models: This example shows how to train models provided by pytorchcv with the rehearsal strategy.
Use a Multi-Head model: This example trains a Multi-head model on Split MNIST with Elastich Weight Consolidation. Each experience has a different task label, which is used at test time to select the appropriate head.

Models

Examples for the Models module offered in Avalanche

Avalanche offers basic support for defining your own models or adapt existing PyTorch models with a particular emphasis on model adaptation over time.

You can find examples related to the models here:

Using PyTorchCV pre-trained models: This example shows how to train models provided by pytorchcv with the rehearsal strategy.
Use a Multi-Head model: This example trains a Multi-head model on Split MNIST with Elastich Weight Consolidation. Each experience has a different task label, which is used at test time to select the appropriate head.