EEA-sensors / parallel-gps
GPFlow based implementation of temporal parallellization of state space GPs
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for parallel-gps
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆11Updated 3 weeks ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated last week
- Implementation of the Gaussian Process Autoregressive Regression Model☆61Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- A generic interface for linear algebra backends☆70Updated 4 months ago
- some scripts for the couplings enthusiasts!☆31Updated 4 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 4 months ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 4 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- probabilistic programming focused on fun☆36Updated 3 weeks ago
- Zheng Zhao's doctoral dissertation from Aalto University☆33Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆38Updated 3 months ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆13Updated 5 years ago
- Gradient-informed particle MCMC methods☆11Updated 9 months ago
- Collection of resources from each meetup event☆13Updated 3 years ago
- Gaussian Processes for Sequential Data☆18Updated 3 years ago
- A simple library to run variational inference on Stan models.☆27Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆227Updated 10 months ago
- ☆10Updated 2 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆46Updated 3 years ago
- Conditional density estimation with neural networks☆27Updated 3 months ago
- ☆15Updated 7 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆57Updated 5 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆95Updated last year
- Efficient, lightweight variational inference and approximation bounds☆42Updated 11 months ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆19Updated 7 months ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Literature and light wrappers for gaussian process models.☆45Updated 3 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆22Updated last year