ymchen0 / torchEnKFLinks
Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Journal on Mathematics of Data Science (SIMODS)
☆34Updated 3 years ago
Alternatives and similar repositories for torchEnKF
Users that are interested in torchEnKF are comparing it to the libraries listed below
Sorting:
- The public repository about our joint FINN research project☆38Updated 3 years ago
- PySensors is a Python package for sparse sensor placement☆105Updated last week
- Quantification of Uncertainties in Neural Networks☆11Updated 2 weeks ago
- ☆41Updated 7 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆81Updated 3 months ago
- ☆35Updated 2 years ago
- ☆21Updated 2 years ago
- ☆49Updated last year
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆31Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.☆11Updated 3 months ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 3 years ago
- GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.☆19Updated 3 months ago
- Differentiable Physics-informed Graph Networks☆68Updated 5 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- ☆38Updated 4 years ago
- ☆58Updated last year
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 3 months ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- ☆13Updated 3 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆37Updated 7 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last month
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago