☆28Sep 18, 2025Updated last year
Alternatives and similar repositories for PINN_FP64
Users that are interested in PINN_FP64 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆29May 5, 2025Updated last year
- Neural topology optimization via active learning for efficient channel design in turbulent mass transfer☆17Oct 9, 2025Updated last year
- ☆16Oct 29, 2023Updated 3 years ago
- ☆13Apr 18, 2023Updated 3 years ago
- Physics-informed neural networks (PINNs)☆16Jun 7, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This is the official repo for the 1D/2D LBM transonic computational fluid dynamics solver, shockFLOW.☆26Sep 16, 2026Updated last month
- Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction☆31Feb 27, 2026Updated 8 months ago
- ☆26Oct 25, 2026Updated last week
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆30Oct 14, 2025Updated last year
- This is the official implementation of "CoPINN: Cognitive Physics-informed Neural Network" (ICML 2025, Spotlight)☆27Apr 12, 2026Updated 6 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆107Oct 24, 2022Updated 4 years ago
- ☆12Feb 27, 2025Updated last year
- ☆22Apr 21, 2023Updated 3 years ago
- ☆446Nov 14, 2025Updated 11 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆36Jan 10, 2025Updated last year
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 3 years ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- Visualization of hidden layer activations of small multilayer perceptrons (MLPs)☆10Aug 26, 2024Updated 2 years ago
- Physics-informed neural networks in JAX — multi-GPU training, advanced PINN algorithms, and 16 benchmark examples☆35Aug 12, 2026Updated 2 months ago
- PINN paper that will be submitted to Journal of Computational Science☆13Sep 11, 2026Updated last month
- ☆10Jul 30, 2024Updated 2 years ago
- A simple Linux command-line utility which submits a job to one of the multiple GPU servers☆12Aug 16, 2024Updated 2 years ago
- ☆46Mar 4, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆13Jun 10, 2025Updated last year
- ICML 2024 (Oral)☆42Dec 15, 2024Updated last year
- An inverse design framework combining SDF representations with a classifier-free guided diffusion model for one-shot synthesis of functio…☆11Jul 29, 2026Updated 3 months ago
- ☆13Sep 15, 2025Updated last year
- Near-linear scaling neural PDE solver for large unstructured meshes via multi-scale attention with ball-tree partitioning☆15May 10, 2026Updated 5 months ago
- A repository containing the data and source code needed to reproduce the results and figures from our paper “Training Deep Physics-Inform…☆11Jan 21, 2026Updated 9 months ago
- k-Epsilon Turbulence Model modified with injection of k and epsilon at actuator disk to match recovery of a real wind turbine☆12Apr 25, 2015Updated 11 years ago
- ☆12Oct 28, 2024Updated 2 years ago
- Calculates the eigendecomposition of the Laplace-Beltrami operator on charts of Riemannian manifolds. Moved to https://git.sr.ht/~jmbr/la…☆10Dec 31, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆13Mar 24, 2023Updated 3 years ago
- JAX based Differentiable PDE Solver with Adaptive Mesh Refinement (AMR).☆14Apr 17, 2026Updated 6 months ago
- ☆13Jul 12, 2024Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆81Sep 13, 2021Updated 5 years ago
- One-shot learning for solution operators of partial differential equations☆33Nov 20, 2025Updated 11 months ago
- ☆39Apr 9, 2022Updated 4 years ago
- ☆226Oct 20, 2024Updated 2 years ago