PhIMaL / DeePyMoD_tensorflowLinks
This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyMoD_torch
☆24Updated 5 years ago
Alternatives and similar repositories for DeePyMoD_tensorflow
Users that are interested in DeePyMoD_tensorflow are comparing it to the libraries listed below
Sorting:
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Updated 3 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- ☆30Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Dynamic Mode Decomposition☆60Updated 8 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- ☆29Updated 7 years ago
- ☆41Updated 7 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 6 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- ☆28Updated 5 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Optimal Hard Threshold for Matrix Denoising☆38Updated 4 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- ☆21Updated 10 months ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Updated 4 years ago
- Linear and non-linear spectral forecasting algorithms☆137Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago