Showing 1-5 of 5 projects
A collection of notebooks covering quantitative finance and numerical methods in Python.
A library for developing neural operators using Fourier methods and PyTorch, enabling efficient learning on infinite dimensional spaces.
Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
Next generation FEniCS problem solving environment for finite-element-based numerical simulations.
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