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Thank you for your work. I tried to reproduce the results, but the results were not good. I only did simple data enhancement during training, and did not make the number of positive and negative sampl…
LauJN updated
18 hours ago
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I have used the same exact data setup for XGBoost Classifier, however, the given code in the README page is resulting in Value Error:
`It is very likely that your model is misconfigured. You can tr…
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Add data sampling to handle extremely large datasets.
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Hi, i try to. run the dcpowergrid case, and i modified partition_and_solve.jl to the following due to some changes in kahypar.jl and schawarzopt.jl. However, when i included the dual and primal links …
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Hi, Thanks for the great work, I am really interested in this idea of using contrastive learning in imbalanced studies. I am just a bit confused about this `--balance` term in the argument, are you ju…
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## 🐛 Bug
I have two datasets which are unbalanced, where one dataset is 1000x larger than the other. I would like to sample from two of the datasets such that the ratio of samples from each is 1:10…
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I notice this project is inspired by stream-k, how is the work done?
I notice the lean attention uses stream k for attention, is this supported in flash infer?
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I am writing my master thesis on imbalanced dataset impact on active learning methods. I have stumbled upon a problem in bootstrapping. When there is few minority class samples, sometimes models are b…
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Here is a list of ideas for new exercises.
- Genesis config
- Runtime benchmark and weight: we need to teach how to write and run the runtime benchmarks along with all the different way a weight …
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### What would you like to be added?
Could we get some sort of technology to get an organized and controller "complete cluster shutdown" and "controlled startup" into Kubernetes?
**Background - Sh…