qiauil/torchfsm
TorchFSM: Fourier Spectral Method with PyTorch
This tool helps researchers and engineers model complex physical systems by simulating Partial Differential Equations (PDEs). You provide the equation and initial conditions, and it outputs the system's evolution over time. It's ideal for computational scientists, physicists, and engineers working on simulations or physics-informed machine learning.
Use this if you need to simulate partial differential equations quickly, especially if you want to integrate these simulations with machine learning models or leverage GPU acceleration.
Not ideal if you're looking for a general-purpose numerical solver that isn't focused on the Fourier Spectral Method or PyTorch's machine learning ecosystem.
Stars
56
Forks
5
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/qiauil/torchfsm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems,...
wilsonrljr/sysidentpy
A Python Package For System Identification Using NARMAX Models
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.