| Name | Version | Summary | date |
| torchgdm |
0.47 |
Nano-optics + autodiff. Full field scattering simulations in pytorch. |
2025-02-11 17:58:37 |
| torch-fem |
0.3.8 |
GPU accelerated differential finite elements for solid mechanics with PyTorch. |
2025-02-10 08:03:30 |
| eikonax |
0.2.0 |
Differentiable Solver for the Anisotropic Eikonal Equation on Triangulated Meshes |
2025-02-02 20:26:21 |
| nptorch |
0.0.2 |
A PyTorch clone made using NumPy (for CPU) and CuPy (for GPU) |
2025-02-01 12:11:21 |
| pymanopt |
2.2.1 |
Toolbox for optimization on Riemannian manifolds with support for automatic differentiation |
2024-09-20 07:42:05 |
| qpax |
0.0.9 |
Differentiable QP solver in JAX. |
2024-09-16 17:04:00 |
| skinnygrad |
0.1.3 |
autodiff engine inspired by tinygrad |
2024-08-19 04:17:56 |
| JaxSSO |
1.0.0 |
A framework for structural shape optimization based on automatic differentiation (AD) and the adjoint method, enabled by JAX |
2024-07-29 02:10:41 |
| mdgrad |
0.3 |
Tensor-based autdiff engine and neural network API |
2024-07-13 17:55:21 |
| algopy |
0.7.2 |
ALGOPY: Taylor Arithmetic Computation and Algorithmic Differentiation |
2024-07-07 08:52:00 |
| madnet |
0.0.1 |
Tensor-based autdiff engine and neural network API |
2024-05-23 17:17:14 |