wesselb / stheno
Gaussian process modelling in Python
☆218Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for stheno
- 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
- Deep GPs built on top of TensorFlow/Keras and GPflow☆120Updated last month
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆95Updated last year
- Gaussian processes in JAX.☆461Updated 2 weeks ago
- Probabilistic Numerics in Python.☆439Updated 6 months ago
- ☆145Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆96Updated last year
- A generic interface for linear algebra backends☆70Updated 4 months ago
- Literature and light wrappers for gaussian process models.☆45Updated 3 years ago
- Just a little MCMC☆217Updated 4 months ago
- Manifold Markov chain Monte Carlo methods in Python☆221Updated last month
- A Bayesian optimization toolbox built on TensorFlow☆226Updated 2 weeks ago
- Structural Time Series in JAX☆184Updated 6 months ago
- The tiniest of Gaussian Process libraries☆296Updated last week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆425Updated 2 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆94Updated 2 months ago
- A framework for composing Neural Processes in Python☆78Updated 5 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆270Updated 2 years ago
- State of the art inference for your bayesian models.☆176Updated last week
- Implementation of the Gaussian Process Autoregressive Regression Model☆61Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆109Updated 2 years ago
- Functional tensors for probabilistic programming☆236Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆119Updated 3 months ago
- Simulation-based inference benchmark☆90Updated 8 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆325Updated 8 months ago
- Probabilistic Inference on Noisy Time Series☆228Updated 3 months ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆46Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago