matt-graham / mici
Manifold Markov chain Monte Carlo methods in Python
☆230Updated 3 weeks ago
Alternatives and similar repositories for mici
Users that are interested in mici are comparing it to the libraries listed below
Sorting:
- Just a little MCMC☆226Updated 10 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆129Updated 4 years ago
- ABCpy package☆114Updated last year
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆235Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- Gaussian process modelling in Python☆223Updated 5 months ago
- The tiniest of Gaussian Process libraries☆307Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆231Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- A list of Python-based MCMC & ABC packages☆123Updated 11 months ago
- Conditional density estimation with neural networks☆31Updated 3 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- Probabilistic Inference on Noisy Time Series☆236Updated 3 months ago
- Simulation-based inference benchmark☆96Updated 3 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Sequential Neural Likelihood☆40Updated 5 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆184Updated 10 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Solve ODEs fast, with support for PyMC☆112Updated last year
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Documentation:☆119Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 months ago
- ELFI - Engine for Likelihood-Free Inference☆274Updated last week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆56Updated 9 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago