TensorLy: Tensor Learning in Python.
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Updated
Jun 9, 2024 - Python
TensorLy: Tensor Learning in Python.
Machine learning toolbox developed in pure NumPy/CuPy for building, training and analyzing neural networks.
A library of GPU-enabled data processing and reconstruction methods for tomography
Cupy&Numba accelerated multiscale bm3d algorithm for ring artifact removal in normalized sinogram.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Experimental quasistatic plasma wakefield simulation code, 2D and 3D geometry, for CPUs and GPUs
simple examples of tools and libraries
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GPU Programming with Python and CUDA.
Python implementation of 3D Zernike moments with CuPy
This repo contains code that implements vPET-ABC. Currently, we have included Python code attempting GPU acceleration on FDG compartment models.
Frequently-used methods for exploratory analysis
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