T-Flet / GPy-ABCDLinks
A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system
☆15Updated last year
Alternatives and similar repositories for GPy-ABCD
Users that are interested in GPy-ABCD are comparing it to the libraries listed below
Sorting:
- ABCpy package☆116Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Gaussian process modelling in Python☆224Updated 10 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Sequential Neural Likelihood☆42Updated 6 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated 11 months ago
- Manifold Markov chain Monte Carlo methods in Python☆233Updated last month
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- ☆30Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Exponential families for JAX☆75Updated this week
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- ☆16Updated 6 months ago
- Nonparametric Differential Equation Modeling☆55Updated last year
- Jax-based MaxEnt☆17Updated 5 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago