google-research / neural-structural-optimizationLinks
Neural reparameterization improves structural optimization
☆126Updated 3 weeks 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
Sorting:
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆106Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- PyTorch-FEniCS interface☆103Updated 4 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- Auto-differentiable and hardware-accelerated force density method☆95Updated 2 weeks ago
- ☆112Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Package for CGD and ACGD optimizers☆20Updated 3 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆167Updated 4 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆169Updated 3 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆49Updated 7 years ago
- ☆73Updated 5 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆187Updated last year
- ☆195Updated 4 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- A sparse KLU solver for PyTorch.☆66Updated 3 years ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆65Updated last year
- ☆42Updated 5 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last month
- A collection of relevant literature related to advancement of machine learning techniques for turbulence modeling and analysis☆17Updated 5 years ago
- A differentiable finite element analysis solver for structural optimization based on JAX☆38Updated this week
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago