secondmind-labs / markovflowLinks
A Tensorflow based library for Time Series Modelling with Gaussian Processes
☆32Updated 11 months ago
Alternatives and similar repositories for markovflow
Users that are interested in markovflow are comparing it to the libraries listed below
Sorting:
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- ☆14Updated last year
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Continual Gaussian Processes☆32Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- ☆29Updated 2 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 6 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year