Pinn Python Packages

pinnforge

Solve PDEs in 3 lines of code: Physics-Informed Neural Networks made easy

deepxde

A library for scientific machine learning and physics-informed learning

anypinn

🤖 A modular and flexible solution to build Physics-Informed Neural Networks (PINNs) for any mathematical problem.

quabla

Rust-native SciML compiler and runtime with composable autodiff and CPU/CUDA/MLX backends

quabla-mlx

Rust-native SciML compiler and runtime with composable autodiff and CPU/CUDA/MLX backends

pinnstudio

A No-Code Scientific Computing Environment for Forward and Inverse Physics-Informed Neural Networks

parametrix

🪄 Flax-like computed parameters for bare JAX (and Equinox)

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

igm-model

Instructed Glacier Model (IGM)

dedekind

Dedekind is a high-performance, differentiable programming language for scientific computing and machine learning. It features compile-time physical units, automatic differentiation, built-in solvers, and GPU/TPU acceleration.

frontx

⚛️ Nonlinear diffusion problems with JAX

pinnx

Physics-Informed Neural Networks for Scientific Machine Learning in JAX

pdecert

Conservative evidence for symbolic, neural, and agent-generated PDE solution artifacts

fast-poisson-solver

The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PINNs) to rapidly solve arbitrary 2D Poisson problems.

fastvpinns

FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries

kbeta-pinn3d

3‑D steady heat-conduction PINN workload that showcases Kourkoutas-β optimizer on a complex mixed‑boundary problem.

kbeta

An optimizer with a reptilian attitude

pinn-rk

Runge–Kutta Physics-Informed Neural Networks with time-discrete losses (Gauss/Radau/Lobatto) in PyTorch.

pinneaple

Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers, and reproducible training pipelines.

igm-model-dev

Instructed Glacier Model (IGM)