google-research / neural-structural-optimization
Neural reparameterization improves structural optimization
☆118Updated 3 years ago
Alternatives and similar repositories for neural-structural-optimization:
Users that are interested in neural-structural-optimization are comparing it to the libraries listed below
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- PyTorch-FEniCS interface☆99Updated 3 years ago
- Differentiable interface to FEniCS for JAX☆52Updated 3 years ago
- Auto-differentiable and hardware-accelerated force density method☆88Updated this week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆124Updated 5 months ago
- ☆104Updated 3 years ago
- Package for CGD and ACGD optimizers☆20Updated 2 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆152Updated 2 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆65Updated 5 years ago
- A sparse KLU solver for PyTorch.☆62Updated 3 years ago
- ☆71Updated 4 years ago
- ☆34Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 8 months ago
- Turning SymPy expressions into PyTorch modules.☆145Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 2 years ago
- ☆187Updated 3 years ago
- A Python Library for Topology Optimization☆105Updated 2 years ago
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆261Updated this week
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 2 months ago
- ☆120Updated last year
- A shape optimisation toolbox built on the Firedrake finite element library.☆28Updated 2 weeks ago
- Dataset of topology optimization☆86Updated 4 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆58Updated last month
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- Deep Learning application to the partial differential equations☆30Updated 6 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆25Updated last year
- A differentiable LCP physics engine in PyTorch.☆295Updated 4 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆184Updated 9 months ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆218Updated 4 years ago
- Documentation:☆119Updated last year