DurstewitzLab / ChaosRNNLinks
☆18Updated 2 years ago
Alternatives and similar repositories for ChaosRNN
Users that are interested in ChaosRNN are comparing it to the libraries listed below
Sorting:
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- ☆11Updated 4 years ago
- Quantification of Uncertainties in Neural Networks☆11Updated 3 months ago
- ☆21Updated 2 years ago
- ☆35Updated last year
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆18Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆34Updated 4 months ago
- ☆35Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- ☆64Updated 11 months ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Updated 2 years ago
- Reduced-order modelling using an atlas of charts☆27Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- ☆48Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆26Updated last month
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- The public repository about our joint FINN research project☆37Updated 2 years ago
- Try to approximate the solution of Fokker-Planck equation☆9Updated last year
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆43Updated 4 years ago
- ☆10Updated 4 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Multiwavelets-based operator model☆61Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- ☆10Updated 7 months ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- ☆182Updated 3 months ago
- ☆21Updated 4 years ago