zgbkdlm / tmeLinks
Taylor moment expansion in Python (JaX and SymPy) and Matlab
☆11Updated last year
Alternatives and similar repositories for tme
Users that are interested in tme are comparing it to the libraries listed below
Sorting:
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated 3 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 7 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Gaussian Online Processes for Python☆19Updated 11 months ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Gaussian processes regression models with linear inequality constraints☆15Updated last year
- Nonparametric Differential Equation Modeling☆56Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆56Updated last month
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆26Updated 6 years ago
- ☆47Updated 3 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆99Updated 2 months ago
- Minimalist version of probml/rebayes☆10Updated 2 months ago
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago