Comments (3)
cthoyt
commented on May 25, 2024
bump
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nikky4D
commented on May 25, 2024
This look interesting. Is there a sample of this?
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cthoyt
commented on May 25, 2024
Not yet, but thanks for the bump ;) I will try and make one over the weekend or early next week. It's actually a lot easier than I had originally thought since you can integrate Google Colab with GitHub and directly open a Jupyrer notebook that's in a GitHub repo, then commit changes back to GitHub (Colab itself is a modified version of Jupyter notebook/lab). The trick is to make sure all of the installation code is at the top of the notebook
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Related Issues (20)
- AttributeError: 'Module' object has no attribute 'get' HOT 2
- Question about the use of `create_inverse_triples` HOT 2
- Want to train a model without any evaluate or test dataset HOT 1
- Bug in wandb result tracker HOT 1
- Possible issue with model evaluation when using datasets with inverse triples HOT 1
- RGCN RuntimeError: trying to backward through graph a second time. (has parameters but no reset_parameters) HOT 2
- QuatE: GPU memory is not released per epoch HOT 3
- Training loop does not update relation representations when continuing training HOT 2
- from pykeen.pipeline import pipeline, pipeline issue HOT 3
- Evaluating metrics on many subsets with multiple models HOT 2
- Shape Mismatch upon initializing pretrained ComplEx embeddings HOT 2
- TransE - CUDA out of memory HOT 3
- Importing model_resolver HOT 2
- Getting Embeddings of the Entity and Relations HOT 13
- RGCN Hyper parameter optimization error HOT 1
- MatKG HOT 1
- HPO_Pipeline fails on AutoSF models HOT 1
- Unable to reproduce TransE experiment
- EarlyStopper: show progress bar
- Cosine Annealing with Warm Restart LR Scheduler recieving an unexpected kwarg `T_i`
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