AaltoML / BayesNewtonLinks
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
☆239Updated 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☆102Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Gaussian process modelling in Python☆224Updated 10 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Gaussian processes in JAX and Flax.☆541Updated this week
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- State of the art inference for your bayesian models.☆224Updated 5 months ago
- Structural Time Series in JAX☆200Updated last year
- ☆154Updated 3 years ago
- The tiniest of Gaussian Process libraries☆321Updated last week
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Manifold Markov chain Monte Carlo methods in Python☆233Updated last month
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 5 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆279Updated last week
- Just a little MCMC☆231Updated last year
- Probabilistic Numerics in Python.☆458Updated 3 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Large-scale, multi-GPU capable, kernel solver☆191Updated 3 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 2 weeks ago
- Simulation-based inference benchmark☆103Updated 8 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago
- Sequential Monte Carlo in python☆468Updated last month
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆284Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Normalizing Flows using JAX☆85Updated last year