Showing 1-4 of 4 projects
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
A collection of resources for working with differential equations, deep learning, and dynamical systems.
Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.
A Python library for arbitrary-precision floating-point arithmetic, providing advanced numerical capabilities.
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