This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Networks 2024)
☆30Oct 14, 2025Updated last year
Alternatives and similar repositories for FPINNs
Users that are interested in FPINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the official implementation of "CoPINN: Cognitive Physics-informed Neural Network" (ICML 2025, Spotlight)☆27Apr 12, 2026Updated 6 months ago
- Physics-informed neural networks in JAX — multi-GPU training, advanced PINN algorithms, and 16 benchmark examples☆35Aug 12, 2026Updated 2 months ago
- ☆12Mar 8, 2025Updated last year
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆95Oct 25, 2023Updated 3 years ago
- Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction☆31Feb 27, 2026Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆46Mar 4, 2025Updated last year
- ☆15Dec 13, 2022Updated 3 years ago
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆38Feb 18, 2025Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆108Oct 24, 2022Updated 4 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆29May 8, 2023Updated 3 years ago
- ☆11Aug 13, 2024Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated 2 years ago
- Code accompanying manuscript "Functional Tensor Decompositions for Physics-Informed Neural Networks"☆15Jul 2, 2026Updated 4 months ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆459Jul 24, 2026Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆26Mar 25, 2026Updated 7 months ago
- ☆29Jun 12, 2025Updated last year
- ☆13Apr 18, 2023Updated 3 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 6 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Jul 27, 2022Updated 4 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆18Jun 10, 2023Updated 3 years ago
- ☆12Nov 30, 2022Updated 3 years ago
- Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks☆16May 29, 2026Updated 5 months ago
- ICML 2024 (Oral)☆42Dec 15, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆36Jan 10, 2025Updated last year
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆11Dec 27, 2022Updated 3 years ago
- Code for "Dual Cone Gradient Descent for Physics-Informed Neural Networks☆14Dec 6, 2025Updated 11 months ago
- ☆12Dec 3, 2024Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆25Aug 3, 2023Updated 3 years ago
- Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involv…☆41Oct 1, 2026Updated last month
- ☆42Jun 17, 2022Updated 4 years ago
- Code and data for learning moving boundary physics using PDDO and Ensemble SINDy☆10Aug 20, 2023Updated 3 years ago
- [ICDE 2025] Official implementation of "Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Kno…☆29Jun 27, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆16Jul 30, 2024Updated 2 years ago
- ☆11May 14, 2026Updated 5 months ago
- ☆28Sep 18, 2025Updated last year
- Research Paper: "Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data Analysis"☆11Nov 20, 2024Updated last year
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated 2 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Sep 19, 2026Updated last month
- Code for orthogonal neural operator☆17Oct 15, 2023Updated 3 years ago