Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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Updated
May 26, 2024 - Python
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Experimental quasistatic plasma wakefield simulation code, 2D and 3D geometry, for CPUs and GPUs
simple examples of tools and libraries
Cupy&Numba accelerated multiscale bm3d algorithm for ring artifact removal in normalized sinogram.
A library of GPU-enabled data processing and reconstruction methods for tomography
Accelerating Qibo simulation with just-in-time compilation.
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
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.
TensorLy: Tensor Learning in Python.
Machine learning toolbox developed in pure NumPy/CuPy for building, training and analyzing neural networks.
Frequently-used methods for exploratory analysis
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