Torch Harmonics
Differentiable signal processing on the sphere for PyTorch
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torch-harmonics implements differentiable signal processing on the sphere. This includes differentiable implementations of the spherical harmonic transforms, vector spherical harmonic transforms and discrete-continuous convolutions on the sphere. The package was originally implemented to enable Spherical Fourier Neural Operators (SFNO) 1.
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- Last commit
- 28 days ago
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NVIDIA
Publisher of DALI (NVIDIA Data Loading Library) and Tensorrt
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