PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
☆37Dec 18, 2021Updated 4 years ago
Alternatives and similar repositories for PDE-VAE-pytorch
Users that are interested in PDE-VAE-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆26Aug 12, 2022Updated 4 years ago
- ☆20Jun 3, 2020Updated 6 years ago
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 years ago
- A dissipative particle dynamics (DPD) project.☆13Aug 16, 2023Updated 3 years ago
- A Finite Element Approximation of a Cahn--Hilliard Tumour Model with FEniCS, by Dennis Trautwein (2020).☆11Oct 11, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Apr 3, 2023Updated 3 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation☆13Jan 24, 2024Updated 2 years ago
- Code for MAE 423 Heat Transfer (Fall 2019-20).☆16Jan 15, 2020Updated 6 years ago
- Physics-informed learning of governing equations from scarce data☆14Feb 16, 2021Updated 5 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- ☆14Jan 29, 2021Updated 5 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- ☆16Nov 20, 2023Updated 2 years 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.
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Refining continuous-in-depth neural networks☆41Nov 14, 2021Updated 4 years ago
- implementation of physics-informed variational auto-encoder☆20Oct 26, 2023Updated 2 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- The course material for the programming course in DEES, University of Manchester☆13Jan 6, 2026Updated 8 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 years ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Dec 3, 2022Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.☆27Oct 16, 2020Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆119Oct 16, 2021Updated 4 years ago
- CNN based ENSO all season forecast model☆21Aug 14, 2024Updated 2 years ago
- Using graph network to solve PDEs☆453Jun 2, 2025Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆19May 11, 2022Updated 4 years ago
- ☆23May 6, 2020Updated 6 years ago
- ☆14Jun 22, 2024Updated 2 years ago
- SUEWS that speaks Python☆13Feb 18, 2023Updated 3 years ago
- Repository for the code on Forecasting Tropical Cyclones with Diffusion Models [https://arxiv.org/abs/2310.01690]☆12Sep 27, 2023Updated 2 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
- 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.
- ☆28Jan 31, 2022Updated 4 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- Canonical normalizing flows☆10Apr 30, 2019Updated 7 years ago
- Official implementation of spectrum bifurcation renormalization group(SBRG), which is suitable for quantum simulation on strong disordere…☆11Feb 23, 2021Updated 5 years ago
- ☆10Jun 25, 2020Updated 6 years ago
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆17Feb 5, 2021Updated 5 years ago
- Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)☆14Oct 9, 2024Updated last year