BoyuanChen / neural-state-variablesLinks
☆175Updated 2 years ago
Alternatives and similar repositories for neural-state-variables
Users that are interested in neural-state-variables are comparing it to the libraries listed below
Sorting:
- ☆63Updated 10 months ago
- Hundreds of strange attractors☆476Updated this week
- Linear and non-linear spectral forecasting algorithms☆136Updated 4 years ago
- ☆357Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆164Updated 6 months ago
- Transformers for modeling physical systems☆140Updated last year
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆171Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆75Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated 2 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- ☆72Updated 4 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆30Updated last month
- Bootcamp notebooks☆55Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- PySensors is a Python package for sparse sensor placement☆92Updated last month
- Solving Inverse Physics Problems with Score Matching☆27Updated last year
- Code for Lie Symmetries SSL paper☆22Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 2 years ago
- ☆156Updated last year
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆119Updated 3 months ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 7 months ago
- ☆47Updated last year
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆27Updated 2 weeks ago
- ☆263Updated 9 months ago
- ☆170Updated last week
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Updated 2 years ago