GaussianProcessesCambridge / meetup-resourcesLinks
Collection of resources from each meetup event
☆13Updated 5 years ago
Alternatives and similar repositories for meetup-resources
Users that are interested in meetup-resources are comparing it to the libraries listed below
Sorting:
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Literature and light wrappers for gaussian process models.☆47Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 10 months ago
- Gaussian process modelling in Python☆225Updated 11 months ago
- A framework for composing Neural Processes in Python☆88Updated 11 months ago
- Multi-Output Gaussian Process Toolkit☆184Updated 6 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 5 years ago
- Just a little MCMC☆232Updated last year
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆237Updated last week
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆52Updated 2 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated 3 months ago
- ABCpy package☆116Updated last year
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 4 years ago
- ☆16Updated 8 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Simulation-based inference benchmark☆106Updated 10 months ago
- State of the art inference for your bayesian models.☆231Updated 7 months ago
- Gaussian Processes for Sequential Data☆19Updated 4 years ago