☆202Apr 3, 2025Updated last year
Alternatives and similar repositories for neuraluq
Users that are interested in neuraluq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Dec 5, 2022Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆85Aug 4, 2023Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆30Jun 4, 2023Updated 3 years ago
- ☆39Sep 11, 2023Updated 3 years ago
- A library for scientific machine learning and physics-informed learning☆4,459Aug 18, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆16Mar 3, 2023Updated 3 years ago
- A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion represent…☆24Jun 21, 2016Updated 10 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆44Jul 12, 2023Updated 3 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,211Mar 30, 2026Updated 6 months ago
- ☆11Mar 18, 2023Updated 3 years ago
- ☆57Jun 29, 2026Updated 3 months ago
- ☆274Oct 14, 2021Updated 4 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 6 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆362Aug 27, 2026Updated last month
- 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.
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆100Aug 17, 2023Updated 3 years ago
- ☆16Oct 25, 2021Updated 4 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- Multi-fidelity Gaussian Process☆30Jan 10, 2021Updated 5 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆23Jun 20, 2024Updated 2 years ago
- ☆35Jan 5, 2024Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆81Sep 13, 2021Updated 5 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆118Mar 1, 2022Updated 4 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆18Apr 12, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Learning in infinite dimension with neural operators.☆3,943Aug 6, 2026Updated 2 months ago
- Graph Neural Network (GNN) emulation of the left-ventricle (LV) in diastole☆14Sep 28, 2022Updated 4 years ago
- Multi-fidelity regression with neural networks☆18Oct 29, 2025Updated 11 months ago
- ☆57Oct 9, 2022Updated 4 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆95Aug 26, 2025Updated last year
- ☆52May 12, 2023Updated 3 years ago
- A place to share problems solved with SciANN☆312Nov 6, 2023Updated 2 years ago
- A curated, taxonomy-organized collection of 50+ papers on Scientific Foundation Models (SciFMs) across 14+ domains — from climate and mat…☆37Jul 16, 2026Updated 2 months ago
- 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.
- ☆36Sep 3, 2021Updated 5 years ago
- ☆221Feb 16, 2024Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆42Oct 17, 2024Updated last year
- ☆24Mar 3, 2023Updated 3 years ago
- ☆24Sep 29, 2021Updated 5 years ago