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Hi, I've used positive_definite_intrinsic_mean.mat in manopt package, which is coded as:
```matlab
function X = positive_definite_intrinsic_mean(A)
% Computes an intrinsic mean of a collection of p…
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Hello, thank you for developing and sharing this excellent tool. In my recent work, I need to use tangent pca to reduce dimensionality in riemann tangent space. I read the examples and write codes as …
s0rel updated
4 years ago
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### Describe the bug
`christoffels` do not work properly with matrices manifolds. The reason is the shape of `inner_product_derivative_matrix`, which is 4-d for matrices, whereas only 3d if base po…
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One submission of the ICLR 2021 challenge reports the following bug:
"We were unable to project points from the Grassmannian or the Stiefel manifold to the tangent space using Geomstats combined wi…
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Create a class `HomogeneousSpace` that inherits from `Manifold` and implements its geometry.
https://en.wikipedia.org/wiki/Homogeneous_space
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I was wondering if it is possible for you to add posterior sampling to PVAE model. The problem with prior sampling is that the embedding space could be sparse and in this case prior sampling would do …
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This metaticket collects tickets related to manifolds in Sage 9.3 or higher. For the initial implementation of manifolds in Sage up to version 9.2, see the metaticket 1: #18528.
The works listed h…
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@qbarthelemy @toncho11 @sylvchev
This looks very interesting:
https://unitary.fund/
Maybe we can suggest a project idea with pyRiemann-qiskit.
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currently, all methods of visualization are present in visualization.py. Wouldn't it be nice to group meaningful classes into separate files
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Pytorch geometric is a great package for geometric deep learning, focused on learning on arbitrary graphs as well as on 3D meshes or point clouds. We could think on how we can interact with it.
htt…