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Hi @lmcinnes,
There has been quite an exciting about UMAP in scRNA-Seq area recently. However, fitting larger data-sets might be an issue depending on amount of available memory. I would love to se…
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Hello!
Thank you for a nice study and a nice repository! :D I am currently trying to re-use some of your hyperparameters from the study, e.g., those for `Complex` for the `YAGO3-10` dataset. Howev…
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Hi, I tried to use the pipeline to reproduce the result of GRB leaderboard but can't reach the accuracy given by the paper and grb website. There is always a 2-5% gap between the paper and my experime…
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Hello author,
how can I change the code in test_standard_GSSL_lapshot_unbalance.py to reproduce the performance in an imbalanced setting? Thank you for your work!
Have a nice day☺
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Hello,
maybe I'm missing it, but is there the 'transform' function, i.e. after you trained the UMAP instance with data you can apply the same instance on an unseen point?
If not, why? And is it fo…
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Hi,
I am using the CLI variant of the tool to learn the, the term-topic matrix (interpreting the topics), the document-topic matrix (classifying the documents) and some experiments in semi-supervised…
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Predicting with confidence: the best machine learning idea you never heard of
https://ift.tt/2gWgUNJ
One of the disadvantages of machine learning as a discipline is the lack of reasonable confid…
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Dear auther
there is some question in my mind: in the train stage, the num_classes is 64 which is the number of the miniImageNet_train.pickle, however, when i use the test.py to evaluate my model ,th…
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Review the resources below, then the code in https://github.com/current12/Stat-222-Project/tree/main/Code/Modelling/Graph%20Neural%20Network. Let me know what you think of some design decisions:
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Hi, I still have some questions about how to get Top1 accuracy of AwA2. From table 3, it tells using FN and TR can achieve the best result. But how do you guys avoid using inductive regressor when you…