SciML/HighDimPDE.jl
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Stars
84
Forks
10
Language
Julia
License
—
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SciML/HighDimPDE.jl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems,...
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
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
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning