AaltoML / BayesNewtonLinks
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
☆235Updated last year
Alternatives and similar repositories for BayesNewton
Users that are interested in BayesNewton are comparing it to the libraries listed below
Sorting:
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Gaussian process modelling in Python☆223Updated 7 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- Gaussian processes in JAX and Flax.☆525Updated last month
- Structural Time Series in JAX☆199Updated last year
- A generic interface for linear algebra backends☆73Updated 5 months ago
- State of the art inference for your bayesian models.☆220Updated 3 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆276Updated 3 weeks ago
- ☆151Updated 2 years ago
- The tiniest of Gaussian Process libraries☆315Updated last week
- Sequential Monte Carlo in python☆462Updated last week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 5 months ago
- Simulation-based inference benchmark☆100Updated 6 months ago
- Manifold Markov chain Monte Carlo methods in Python☆232Updated 2 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 3 months ago
- ☆180Updated last month
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Probabilistic Numerics in Python.☆454Updated last month
- Normalizing Flows using JAX☆84Updated last year
- Just a little MCMC☆227Updated last year
- Large-scale, multi-GPU capable, kernel solver☆190Updated 3 weeks ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆27Updated last year
- Mathematical operations for JAX pytrees☆200Updated 8 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago