☆31Apr 13, 2025Updated 10 months ago
Alternatives and similar repositories for LIPS
Users that are interested in LIPS are comparing it to the libraries listed below
Sorting:
- ☆10Nov 13, 2024Updated last year
- ☆11Mar 31, 2024Updated last year
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Apr 11, 2024Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆12Dec 15, 2021Updated 4 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- ☆12Aug 22, 2025Updated 6 months ago
- ☆18Jul 29, 2024Updated last year
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆25Jun 3, 2022Updated 3 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Nov 22, 2022Updated 3 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Mar 9, 2023Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆30Dec 5, 2024Updated last year
- A GNN-based PDE solver without pre-computed data☆39Jun 11, 2025Updated 8 months ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Dec 22, 2022Updated 3 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Jan 30, 2024Updated 2 years ago
- ☆16Nov 2, 2025Updated 4 months ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69May 22, 2024Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 3 months ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆48Aug 2, 2025Updated 7 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆38Jun 21, 2023Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆39Jun 21, 2024Updated last year
- ☆17Apr 18, 2024Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆91Oct 19, 2022Updated 3 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- Grafana Datasource for Factry Historian☆12Feb 19, 2026Updated last week
- Official repository for "DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Opinion Text Generation"☆10May 20, 2022Updated 3 years ago
- Research sources on graph-based anomaly detection☆13Nov 29, 2022Updated 3 years ago
- ☆14Nov 10, 2021Updated 4 years ago
- ☆10Oct 27, 2023Updated 2 years ago
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"☆12Apr 12, 2024Updated last year
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 2 years ago
- Generalized sparse regression for continuous and discrete data☆12Feb 23, 2026Updated last week
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year