3D GPUs Strange Attractors and Hypercomplex Fractals explorer - up to 256 Million particles in RealTime
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Updated
Dec 4, 2024 - C++
3D GPUs Strange Attractors and Hypercomplex Fractals explorer - up to 256 Million particles in RealTime
Hypercomplex Neural Networks with PyTorch
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
A Python library for working with arbitrary-dimension hypercomplex numbers following the Cayley-Dickson construction of algebras.
Simmple single-header library written in C++, intended for simple way to interact with hypercomplex numbers
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