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0. produce one large segmentation of smFISH_OLEH and VISIUM
1. check batch_norm in UNET (currently is not there)
2. reflection padding in UNET (currently is not there) or nothing and then prediction…
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Spatially joined the sidewalks data with the vectorized LandScan data. The histograms show a high right skew for both data. Next steps are developing a relationship map with these two variables: mean …
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### Describe the workflow you want to enable
Is there a roadmap to add the FastOPTICS algorithm, [1], to the `sklearn.cluster` code base that already supports OPTICS?
[1] 2013, J. Schneider, M. Vl…
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hello, I noticed there is a big focus on uncertainty based sampling and information density based sampling techniques which is very nice. but in batch mode active learning, when several data points ar…
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#### Describe the workflow you want to enable
Clustering with Gaussian mixture modeling frequently entails choosing the best model parameter such as the number of components and covariance constr…
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We mentioned in class that there is a way to create clusters based on distances (proximity of vertices), and kmeans seemed to like clustering based on distances in the sense that all nodes with the sa…
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Hi, Thank you so much for creating such a cool and interactive and highly modular technique in Topic Modeling.
I have a question and a recommendation.
Regarding the question, I'm curious if ther…
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Dear Pierre,
Recently I noticed rather strange behavior of the SC:
During processing of some of my recordings (not all, but they are all about 20 min-long, from the same animal) often, but not alw…
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At the moment I only started to play with the point-cloud 3d map idea, but we don't have much examples that are more beautiful than "just" printing some numbers on the screen.
I understand having l…
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Hi there,
I'm new to Martin. I've been using Tippecanoe so far, and it offers some ways to control how features should be dropped if they exceed a certain limit per tile. I'm not able to control th…