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
- 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
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Apr 3, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 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
- Code for the blog post☆12Jan 15, 2021Updated 5 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- Professional Battery RUL Prediction System with Advanced Machine Learning - Predicting Remaining Useful Life (RUL) and State of Performan…☆16Jul 21, 2025Updated last year
- ☆16Nov 20, 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
- 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.
- 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 6 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆116Apr 15, 2022Updated 4 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 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
- ☆119Oct 16, 2021Updated 4 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
- 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.
- Benchmarking tools for applying AI/ML to data assimilation☆32Sep 16, 2026Updated 2 weeks ago
- ☆14Jun 22, 2024Updated 2 years ago
- Repository for the code on Forecasting Tropical Cyclones with Diffusion Models [https://arxiv.org/abs/2310.01690]☆12Sep 27, 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
- ☆28Jan 31, 2022Updated 4 years ago
- Diffusion for climate downscaling☆94Jun 28, 2024Updated 2 years ago
- Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)☆30Jan 28, 2021Updated 5 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
- 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.
- Official implementation of spectrum bifurcation renormalization group(SBRG), which is suitable for quantum simulation on strong disordere…☆11Feb 23, 2021Updated 5 years ago
- Pytorch implementation of Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation (CVPR'24)☆39Oct 3, 2025Updated last year
- ☆10Jun 25, 2020Updated 6 years ago
- Classify international patents into one of eight categories based on the text of their titles & abstracts using DistilBert & ONNX Runtime☆10Jul 21, 2022Updated 4 years ago
- ☆10Jul 27, 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