learn2learn icon indicating copy to clipboard operation
learn2learn copied to clipboard

A PyTorch Library for Meta-learning Research

Results 59 learn2learn issues
Sort by recently updated
recently updated
newest added

data augmentation for f100 ala rfs 2020 ### Description Fixes #[ISSUE NUMBER] Replace this line by a one sentence summary of your PR. If necessary, use the following space to...

Hi, thanks for your great work! I am trying to use the l2l.optim.LearnableOptimizer to learn the learning rates, but I encountered an error in the second batch training: RuntimeError: one...

### Description This PR adds support for computing support on new data for running inference. This is only supported by LightningPrototypicalNetworks right now, as the classifier needs re-fitting. This is...

https://github.com/learnables/learn2learn/blob/06893e847693a0227d5f35a6e065e6161bb08201/learn2learn/vision/datasets/mini_imagenet.py#L111 Currently, when loading mini-imagenet the inputs are returned as pytorch tensors while the labels as numpy arrays. Since the user will likely use both in a training loop, does...

### Description Adds a sampler over tasks compatible with PyTorch's DataLoader (incl. num_workers > 1) which doesn't assume classification tasks. If used for classification tasks (or others), it does not...

`E:\Anaconda\envs\RL\lib\site-packages\torch\nn\modules\module.py:385: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the...

Dear @Kostis-S-Z, unfortunately, the meta-world example doesn't work anymore. In the latest version of meta-world, the file MultiClassMultiTaksEnv is missing. Also, the imports of ML1, ML10, and ML45 have changed....

Hi, first of all thank you so much for providing us such an excellent project! But I meet a problem and really need your help: When I am running the...

[LEO](https://openreview.net/pdf?id=BJgklhAcK7) introduced a feature map trained on mini-imagenet. It's fairly common to benchmark on this "dataset" where the instances are replaced by the feature mapped instances (which is hardcoded into...