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A textbook on parallel computing and scientific machine learning methods and applications
Numerical differential equation solvers in JAX, with autodifferentiation and GPU support.
Go library for scientific computing, numerical analysis, and data visualization tools for developers.
Differentiable SDE solvers with GPU support and sensitivity analysis
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.
Brian is a free, open-source simulator for spiking neural networks, used in computational neuroscience.
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