Comments (10)
Hi @Mathieu4141 thanks for the interest :)
Yeah I'm still working on it and just opened a PR here #637 if you wanna take a look.
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Great! Yes I'll take a look at your PR 🙂
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Hi @qsunyuan! Results on Cifar100 are reproduced here: https://github.com/ContinualAI/reproducible-continual-learning
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@vlomonaco Can I start with this?
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Hi Akshita, I already wrote and tested the PyTorch code iCaRL (which only needs to be ported to Avalanche).
I had to pause the porting because I'm been working on max priority issues. However, I think I can still handle this!
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okay @lrzpellegrini
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This is gonna be added soon with a PR by Andrea Rosasco.
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Are you still working on that @andrew-r96 ? For a school project we implemented iCaRL as a baseline, and we did it using avalanche. The code is not up to date with the latest version of avalanche, but it shouldn't be too much work to clean it.
Let me know if you're still on it :)
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Hi!
Great work.
Recently I also reproduced iCaRL, but I cannot achieve the original results.
Could u pls share ur CIFAR100 icarl results.
For example, ten tasks which each task has 10 classes.
I cannot achieve the original results, about 49%. How's ur results.
Hope to get ur replay. Best wishes.
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THx for ur help, it helps me a lot. Best wishes.
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Related Issues (20)
- Enhance Avalanche Library to Support Time Series Data and Models HOT 4
- GEM initialization HOT 2
- GenericCLScenario donot support data for regression tasks. TypeError: unhashable type: 'list' HOT 6
- before_forward callback confusing naming
- Usage of function ni_benchmark HOT 1
- The most frequently used benchmark in time series classification/regression is the [UCR datasets](https://timeseriesclassification.com/), which consists of 128 time-series datasets. Both [sktime](https://www.sktime.net/en/stable/index.html) (a Tensorflow-based Python package) and [tsai](https://timeseriesai.github.io/tsai/) (a Pytorch-based Python package) have provided comprehensive solutions for data handling and model development, including the SoTA. HOT 1
- DistributedHelper CI is failing HOT 2
- Using avalanche.benchmarks.utils.data_loader for loading dataset
- Class Indices Overwritten During Continual Learning with Avalanche 0.4.0a HOT 2
- Constantly run into this error when installing HOT 7
- Creation of a new envirnment failed for python 3.9
- Creation of a new envirnment failed for python 3.1
- units of various matrices of avalanche.evaluation.metrices
- ADD plasticity metrics
- Can I use my own dataset? HOT 1
- test dataset path broken HOT 2
- Checkpoint error in AGEM
- tutorial missing docs HOT 2
- Cannot catch last subexp (Affects Online settings with access to task boundaries) HOT 5
- Issue with cpu_usage metric HOT 2
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