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`plot_persistence_density` is rather slow, because the density estimation takes a lot of time. For a grid 300x300 and 10000 points, it already takes about 10s with scipy, and more if I try to use skle…
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No. You should not use functions provided in a given library or package that will **significantly simplify** the
algorithms that you are asked to implement in coursework, if that is the case, you w…
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Perhaps estimating the kernel with the kernel density estimation could provide better results than with an histogram, either in the parametric or non parametric case, as shown in:
https://www.ethz.c…
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This is more complex because there is interplay between
geom_smooth
and
density
that is tricky.
Also, most of the estimation should be treated as if for a discrete distributoins? Way around this …
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#### Density level set 0.3
python train.py -s data/Cloitre_Gal2_E2_Statues_proche_low_poly_sdf_0p5/ -c outputs_GS/Cloitre_Gal2_E2_Statues_proche_bis/ -r "sdf" --bboxmin "(0, 0, 0)" --bboxmax "(0.…
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The conversion of literature measurements into average densities and the fitting steps of the pipeline takes (a lot of) time because they require an estimate of the volume, cell and neuron density of …
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pyvista looks REALLY good for bringing VTK 3D visualization into Python in a manner that can actually be understood by a human. It even does mp4 rendering!
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ML state estimation seems to only work with 6 observables. In the case of four observables {+Z, +X, +Y, -Z} the reconstruction seems to struggle. This might intuitively make sense when reconstructin…
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Todo list for improved topoplots:
- [ ] Electrode locations with varying sizes, colors, and fill styles (or completely disable)
- [ ] Optional electrode labels
- [ ] Linestyle options (color, thicknes…
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#3 and #4 are about regression problems specifically, but risk minimization is much more general. For example, density estimation can be formulated as minimizing the negative log density over a class …