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Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Hi, I am not sure if this is expected behavior when I run experiment with Memory Replay plugin only, but after the first experience the GPU memory usage is increased...
Hi, this is my initial draft of the ExpertGate Plugin. It deals with issue #1023 A few points: - The ExpertGate model is implemented as a wrapper which holds two...
I'm creating this draft PR for the new mixin-based template structure. For now, the main goal is to implement working version of the templates that we want and get feedback...
🐛 **Describe the bug** As the title says, the property `classes_in_experience` of the class `GenericCLScenario` doesn't return an set of unique tensors containing the labels of the experience's patterns. Instead,...
🐛 **Describe the bug** A clear and concise description of what the bug is. I got this error message: `ImportError: cannot import name 'make_lvis_metrics' from 'avalanche.evaluation.metrics' ` while running one...
This draft contains the implementation for supporting distributed (multi-GPU) training. The examples folder contains a simple example (to run naive, replay, replay+scheduler) and a bash script to launch it. This...
So I noticed that when calling JointTraining on a `dataset_benchmark` the mini-batches are not iid w.r.t. the whole datasets. Any clue on how to solve the issue?
periodic eval is broken in some subtle cases. Instead of calling `eval` on the entire stream, it calls it multiple times for each experience, breaking stream-level metrics. Reproduce: ``` from...
ICarl strategy returns an error with Core50 benchmark: `scenario = CORe50(scenario="nc", run=9)` The error is: `AttributeError: 'GenericCLScenario' object has no attribute 'n_classes_per_exp'` Other nc benchmarks belong to "NCScenario" class and...
Hi! We are currently trying to use Avalanche in our research, as it looks like an amazing tool providing a lot of ready-to-use tools. However, we encountered some issues that...