| Name | Version | Summary | date |
| cashocs |
2.3.3 |
Computational Adjoint-Based Shape Optimization and Optimal Control Software |
2024-12-12 15:32:58 |
| felupe |
9.1.0 |
Finite Element Analysis |
2024-11-23 07:43:39 |
| apebench |
0.1.1 |
Benchmark suite for Autoregressive Neural Emulators of PDEs in JAX. |
2024-11-09 08:49:25 |
| separable-operator-networks |
0.0.2 |
Separable operator models for extreme-scale learning of parametric PDEs |
2024-11-01 23:54:41 |
| discretize |
0.11.0 |
Discretization tools for finite volume and inverse problems |
2024-10-25 05:42:06 |
| exponax |
0.1.0 |
Efficient differentiable PDE solvers in JAX. |
2024-10-23 07:30:54 |
| trainax |
0.0.2 |
Training methodologies for Autoregressive Neural Emulators in JAX built on top of Equinox & Optax. |
2024-10-17 07:29:40 |
| pdequinox |
0.1.2 |
Neural PDE Emulator Architectures in JAX built on top of Equinox. |
2024-10-17 07:02:31 |
| PyFlowSolver |
0.3.1 |
Solve the Euler Equations for inviscid compressible flow in 1D. |
2024-10-10 03:20:48 |
| cola-ml |
0.0.6 |
None |
2024-09-25 01:36:21 |
| krylovevsolver |
1.0.1 |
A Krylov eigenvalue solver for linear partial differential operators. |
2024-09-18 12:06:06 |
| jaxdf |
0.2.8 |
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations |
2024-09-17 10:37:45 |
| torch-cfd |
0.0.7 |
PyTorch CFD |
2024-07-20 19:25:01 |
| torch-afem |
0.0.1 |
PyTorch Finite Element Method |
2024-04-19 18:53:12 |