snagcliffs / RKNNLinks
☆21Updated 7 years ago
Alternatives and similar repositories for RKNN
Users that are interested in RKNN are comparing it to the libraries listed below
Sorting:
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆155Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- ☆11Updated 7 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 7 years ago
- ☆73Updated 5 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆97Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆42Updated 7 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Linear and non-linear spectral forecasting algorithms☆138Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 6 years ago
- Dynamic Mode Decomposition☆61Updated 8 years ago
- ☆11Updated 4 years ago
- ☆15Updated 2 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 4 years ago
- Python package for calculating fractional derivatives.☆60Updated last year
- Solving high-dimensional Partial Differential Equations with Deep Learning☆27Updated 6 years ago
- ☆11Updated 4 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
- Unbiased Deep Learning based Solvers for parametric PDEs☆11Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 3 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆44Updated 7 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago