Training
Baselines and Strategies Code Examples
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Baselines and Strategies Code Examples
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Avalanche offers significant support for training (with templates, strategies and plug-ins). Here you can find a list of examples related to the training and some strategies available in Avalanche (each strategy reproduces original paper results in the repository:
: this example shows how to take a stream of experiences and train simultaneously on all of them. This is useful to implement the "offline" or "multi-task" upper bound.
: simple example on the usage of replay in Avalanche.
: this is a simple example on how to use the AR1 strategy.
: this is a simple example on how to use the CoPE plugin. It's an example in the online data incremental setting, where both learning and evaluation is completely task-agnostic.
: how to define your own cumulative strategy based on the different Data Loaders made available in Avalanche.
: this is a simple example on how to use the Deep SLDA strategy.
: this example shows how to use early stopping to dynamically stop the training procedure when the model converged instead of training for a fixed number of epochs.
: this example shows how to run object detection/segmentation tasks.
: this example shows how to run object detection/segmentation tasks with a toy benchmark based on the LVIS dataset.
: set of examples showing how you can use Avalanche for distributed training of object detector.
: this example tests EWC on Split MNIST and Permuted MNIST.
: this example tests LWF on Permuted MNIST.
: this example shows how to use GEM and A-GEM strategies on MNIST.
: this example shows how to create a stream of pre-trained model from which to learn.
: this is a simple example on how to implement generative replay in Avalanche.
: simple example to show how to use the iCARL strategy.
: example on how to use a meta continual learning in Avalanche.
: example of the RWalk strategy usage.
: example to run a naive strategy in an online setting.
: this is a simple example on how to use the Synaptic Intelligence Plugin.
: sequence classification example using torchaudio and Speech Commands.