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Delft University of Technology
- Delft, NL
- https://weymouth.github.io/
- https://orcid.org/0000-0001-5080-5016
- @gabrielweymouth.bsky.social
- in/gabriel-weymouth-3a312489
Stars
Fast and simple fluid simulator in Julia
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equations.
Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
Heterogeneous programming in Julia
Makie topo plot recipes, for neuro-science, geo plots and anyone needing surface plots from unstructured data
A reinforcement learning package for Julia
A neural network which demonstrates the use of a spatially varying custom loss function to aid near-field fluid prediction.
A unified interface for sequential, threaded, and distributed fold
GJK signed distance algorithm for convex bodies in Julia
Adaptively sampled distance fields in Julia
Nonlinear Dynamics: A concise introduction interlaced with code
A type-flexible shallow water model that can run with 16-bit arithmetic.
Gridap drivers for fluid-structure interaction applications
Algebraic Multigrid in Julia
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
A template for textbooks in the same style as Algorithms for Optimization
Post-processing package for CFD simulations I run for my PhD
Codes used for final testing
Efficiently computes derivatives of NumPy code.
Southampton sailing robot