Geometrical Layers for Pytorch Neural Networks
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Updated
May 6, 2024 - Python
Geometrical Layers for Pytorch Neural Networks
Riemannian Adaptive Optimization Methods with pytorch optim
Implementation of Deep SPDNet in pytorch
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
Riemannian metrics to measure distances in latent space of VAEs
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