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I'm training the segmentation EfficientViT B1 on Cityscapes, and achieving ~0.6 mIoU, however the reported results are around 0.8 mIoU.
Would you be able to offer some guidance or share more detai…
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Current MCMC sampling for GP hyperparameters uses weak priors. We should add ability to specify a prior distribution for hyperparameters.
edaub updated
4 years ago
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The following warnings or errors (in alphabetic order) were detected at least the indicated number of times:
WARNING: QuantUMS requires 6 or more runs for the optimisation of its hyperparameters to p…
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#### Describe the workflow you want to enable
I developed [searchgrid](http://github.com/jnothman/searchgrid) to deal with one of my pet peeves in scikit-learn: that when performing a hyperparam se…
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### Search before asking
- [X] I have searched the MuZero [issues](https://github.com/werner-duvaud/muzero-general/issues) and found no similar feature requests.
### Description
I trained muzero f…
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berenslab/rna-seq-tsne | 24. Okt. 2018 | Hinzugefügt von GitHub
Raphael 18:28 Uhr
very insightful thanks.
As we cannot play around much with the google tensorflow embedding projector we might…
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I tested multiple combination of `min_dist` and `n_neighbor` on my data, I found that a suitable combination of those hyperparameters can separate the all the cluster(according to labels). I wonder ho…
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**Bug Report Checklist**
- [x] I provided code that demonstrates a minimal reproducible example.
- [ ] I confirmed bug exists on the latest mainline of AutoGluon via source install.
- [x] I c…
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Do we want it to be possible to run an experiment with no hyperparameters specified? Ex. it would be just the user-defined configs section
That’s fine