Models

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. 
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