EEA-sensors / parallel-gpsLinks
GPFlow based implementation of temporal parallellization of state space GPs
☆15Updated 2 years ago
Alternatives and similar repositories for parallel-gps
Users that are interested in parallel-gps are comparing it to the libraries listed below
Sorting:
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 7 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 8 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 4 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 8 months ago
- Gaussian process modelling in Python☆223Updated 6 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- JAX workshop for beginners☆8Updated 6 months ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Manifold Markov chain Monte Carlo methods in Python☆230Updated last month
- Collection of resources from each meetup event☆13Updated 4 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- ☆11Updated 3 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- State of the art inference for your bayesian models.☆219Updated 2 months ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆33Updated 8 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 11 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Just a little MCMC☆227Updated last year