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Hey, thanks for this cool project!
I tried to run the example for `learn2learn.nn.KroneckerLinear` in the documentation:
```
m, n = 2, 3
x = torch.randn(6)
kronecker = KroneckerLinear(n, m)
y …
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in this example, the dataset is splitted into 3 sets, train, val, and test.
https://github.com/learnables/learn2learn/blob/master/examples/text/news_topic_classification.py
but in this example, …
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Hi,
I got the following error while trying to pip install the package:
Building wheels for collected packages: learn2learn
Building wheel for learn2learn (setup.py) ... error
ERROR: Comma…
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This work is awesome!
Using `nn.DistributedDataParallel` in the following way will raise Error when execute `learner = maml.clone()`
How to use it correctly? Should I use nn.DistributedDataParall…
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Dear authors,
Thank you for your fantastic projects and contributions! I currently use your code base for reptile experiment for miniimagenet. I run the script reptile_miniimagenet.py and g…
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When I ran protonet_miniimagenet.py, the test accuracy is only around 43% instead of 49%. Why is this? Any idea?
mayug updated
3 years ago
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Hi, I am trying to install learn2learn directly from the git repo as it seems that the latest changes have not yet been incorporated in the pip install version. However, on doing python setup.py insta…
g1910 updated
4 years ago
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Hi,
First of all, this is a really cool library! Great work ❤️
I am specifically interested in accelerating meta-learners. I was previously working on accelerating a RNN optimizer based meta-lea…
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Hi, I would like to use a pre-trained language model (BERT) from the transformers library to do NLP tasks.
Can I use models such as BertForSequenceClassification directly?
From what I see in the h…