GitHub topics: numerical-simulation-optimization

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RezaNajian/folax

Folax (Finite Operator Learning with JAX) is a framework for solving and optimizing PDEs by integrating machine learning with numerical methods in computational mechanics.

Language: Python - Size: 155 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 6 - Forks: 5

RezaNajian/FOL

Bridging Neural Operators and Numerical Methods

Language: Python - Size: 47.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

Related Keywords

numerical-simulation-optimization 2 physics-informed-neural-networks 2 jax 1 operator-learning 1 pdes 1 sci-ml 1 finite-operator-learning 1 neural-operators 1