jgosmann / goppyLinks
Gaussian Online Processes for Python
☆20Updated 9 months ago
Alternatives and similar repositories for goppy
Users that are interested in goppy are comparing it to the libraries listed below
Sorting:
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated 10 months ago
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Sparse Spectrum Gaussian Process Regression☆23Updated 5 years ago
- ☆17Updated 3 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- ☆26Updated 5 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Repository for "Fitting a Kalman Smoother to Data"☆60Updated last year
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Updated 3 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- ☆16Updated 7 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
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Particle filtering and sequential parameter inference in Python☆84Updated 2 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆79Updated last year
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆19Updated 4 years ago
- Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)☆25Updated 4 years ago
- Code for the paper "Outlier-robust Kalman Filtering through Generalised Bayes" presented at ICML 2024☆71Updated this week
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Online variational GPs☆37Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Notebook fitting a Bayesian Gaussian mixture model via stochastic variational inference w/ TensorFlow 2.0☆14Updated 6 years ago
- Python implementation of the PR-SSM.☆55Updated 7 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆81Updated last year
- Gaussian processes regression models with linear inequality constraints☆15Updated last year