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License: Apache License 2.0
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
License: Apache License 2.0
hi!i'm surprised when I find this package, but most recommendation system codes are pytorch version, so do you know if there are other torch vertion of curvature.
Hello, I'm trying to implement HyperML on my data using the manifold PoincareBall. I'm not familiar with TensorFlow so it has been a little hard for me to understand if I need to change some parameters in order for the model to work well.
Until now, I've made these changes:
I tried to implement the model but it got stuck on step 1000 and the HR metric doesn't print.
You can see that below:
I am doing something wrong?
Another issue relates to the results. When I get to the end of the training, how can I check if my model worked and get some recommendations for a specific user?
Thanks in advance!
Hi teams, thank you for the quick support.
I am trying to run these models with the product of manifolds. For example, with HGCN, in the config.py, I used manifold with Product(Euclidean(), Stereographic()).
But it seems doesn't work and has a bug.
Did I do any wrong?
Thank you so much.
使用gpu训练的时候,显存有使用,但是gpu没有使用?使用的是CUDA_VISIBLE_DEVICES=0 python examples/hgcn/train.py 运行的hgcn. example
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