Ceyron / pdequinoxLinks
Neural Emulator Architectures in JAX.
☆23Updated last year
Alternatives and similar repositories for pdequinox
Users that are interested in pdequinox are comparing it to the libraries listed below
Sorting:
- Efficient Differentiable n-d PDE solvers in JAX.☆52Updated 2 months ago
- Finite difference tools in JAX☆23Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆95Updated 2 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last week
- Universal, autodiff-native software components for Simulation Intelligence. 📦☆87Updated this week
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated this week
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆77Updated 2 months ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆68Updated last month
- Spectral Neural Operator☆79Updated 2 years ago
- Matrix-free linear algebra in JAX.☆157Updated last month
- ☆29Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 9 months ago
- Orthogonal polynomials with JAX☆26Updated this week
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated last year
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆52Updated 6 months ago
- Kolmogorov-Arnold Networks built on JAX☆93Updated 3 weeks ago
- Numerical quadrature with JAX☆75Updated this week
- Bilinear interpolation on grids with jax☆16Updated 3 years ago
- Interpolation and function approximation with JAX☆237Updated this week
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated last week
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆58Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆66Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆33Updated last year
- Execute + differentiate Tesseracts as part of JAX programs, with full support for function transformations like JIT, grad, and more. ⚡☆27Updated this week