LithiumDA / L_inf-PINNView external linksLinks
[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
☆38Feb 28, 2023Updated 2 years ago
Alternatives and similar repositories for L_inf-PINN
Users that are interested in L_inf-PINN are comparing it to the libraries listed below
Sorting:
- Physics-informed radial basis network☆36May 20, 2024Updated last year
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆13Jun 10, 2023Updated 2 years ago
- [ICLR26] AI-based scaling law discovery☆25Jan 30, 2026Updated 2 weeks ago
- a clean blog☆10Apr 20, 2020Updated 5 years ago
- ☆13Mar 11, 2025Updated 11 months ago
- ☆41Mar 4, 2025Updated 11 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- 👌[ICLR 2025] TFG-Flow: Training-free Guidance in Multimodal Generative Flow☆18Mar 4, 2025Updated 11 months ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆28Feb 18, 2025Updated 11 months ago
- Neural Galerkin☆16Oct 25, 2023Updated 2 years ago
- ☆12Aug 22, 2025Updated 5 months ago
- ☁️ KUMO: Generative Evaluation of Complex Reasoning in Large Language Models☆19Jun 4, 2025Updated 8 months ago
- Deep Learning of Turbulent Scalar Mixing☆17Oct 6, 2019Updated 6 years ago
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Oct 14, 2025Updated 4 months ago
- ☆15Oct 25, 2021Updated 4 years ago
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆46Dec 6, 2023Updated 2 years ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆66Sep 1, 2025Updated 5 months ago
- ☆35Oct 21, 2025Updated 3 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 8 months ago
- ☆241Oct 14, 2021Updated 4 years ago
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 3 years ago
- [SIGGRAPH 2024] Official code for Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction☆24Jul 27, 2024Updated last year
- Port-Hamiltonian Approach to Neural Network Training☆27Dec 11, 2019Updated 6 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Oct 18, 2021Updated 4 years ago
- ☆24Mar 3, 2023Updated 2 years ago
- Laminar flow prediction using graph neural networks☆31Jan 17, 2025Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆27Apr 20, 2024Updated last year
- The code is associated with the paper entitled "KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamica…☆39Jul 23, 2025Updated 6 months ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆32Jun 2, 2023Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆32Apr 15, 2023Updated 2 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆64Sep 14, 2022Updated 3 years ago
- ☆16Nov 2, 2025Updated 3 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Oct 30, 2023Updated 2 years 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