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Avalanche - v0.2.1
Avalanche: an End-to-End Library for Continual Learning
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Getting Started
Introduction
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Learn Avalanche in 5 Minutes
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From Zero to Hero Tutorial
Introduction
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Dataloaders, Buffers, and Replay
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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:
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Using PyTorchCV pre-trained models
:
This example shows how to train models provided by pytorchcv with the rehearsal strategy.
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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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Last modified
19d ago
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