matt-graham / miciLinks
Manifold Markov chain Monte Carlo methods in Python
☆236Updated 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☆235Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆131Updated 5 years ago
- ABCpy package☆116Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Gaussian process modelling in Python☆226Updated last year
- Probabilistic Inference on Noisy Time Series☆241Updated 3 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 11 months ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆241Updated last year
- Simulation-based inference benchmark☆108Updated 11 months ago
- A list of Python-based MCMC & ABC packages☆123Updated 7 months ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- ELFI - Engine for Likelihood-Free Inference☆279Updated 8 months ago
- Probabilistic Numerics in Python.☆458Updated 6 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Conditional density estimation with neural networks☆35Updated 11 months ago
- Gaussian Process Regression Interactive Javascript Demo☆57Updated 7 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Proximal optimization in pure python☆117Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆121Updated 3 weeks ago
- The tiniest of Gaussian Process libraries☆328Updated this week
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆132Updated last year
- Documentation:☆125Updated 2 years ago