[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

A flexible framework for solving PDEs with modern spectral methods.

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

High performance computational platform in Python for the spectral Galerkin method

Implementation of Directional Graph Networks in PyTorch and DGL

Rust Scientific Libary. ODE and DAE (Runge-Kutta) solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor calculus.

Comparison of various numerical methods for computational fluid dynamics

matrix square root and its gradient

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

Pseudospectral Kolmogorov Flow Solver

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks

[WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Fast superresolution frequency detection using MUSIC algorithm

Direct Numerical Simulation of Fluid Flow with IBM Using Python

Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK

Building blocks of spectral methods for Julia.

Efficient Differentiable n-d PDE solvers in JAX.

Solving Poisson equation using a spectral method, also introducing VTK which will probably be used for other projects

ManifoldEM Python suite

PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochastic version.