#Pde
Showing 20 of 20 repositories tagged #pde, ranked by stars
A library for scientific machine learning and physics-informed learning
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Physics-Informed Neural networks for Advanced modeling
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Simple finite element assemblers
Perfect for developers seeking a single, unified environment for web development, backend systems, mobile apps, and competitive programming.
This repository containts materials for End-to-End AI for Science
A fast, differentiable, JIT-free, debugging-friendly finite element library for PyTorch.
The best terminal you could have (well for me it is), is very similar to that of VScode.
a collection of small and standalone utilities for image processing, written in C
🍙 an Arch enabled PDE (Personalized Development Environment)
[ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data
Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
neovim lua cfg
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
SG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Deep learning library for solving differential equations on top of PyTorch.
Notes and examples on how to solve partial differential equations with numerical methods, using Python.
Solving High Dimensional Partial Differential Equations with Deep Neural Networks
CBLens：基于 Crank-Nicolson PDE 的 A 股可转债定价、公告事件解析与机会筛选工作台，支持 GUI/CLI 研究流。