matt-graham / mici
Manifold Markov chain Monte Carlo methods in Python
☆226Updated last month
Alternatives and similar repositories for mici:
Users that are interested in mici are comparing it to the libraries listed below
- Just a little MCMC☆222Updated 8 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆128Updated 4 years ago
- ABCpy package☆113Updated 9 months ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆181Updated 10 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 4 months ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆230Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆101Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Solve ODEs fast, with support for PyMC☆112Updated 9 months ago
- Gaussian process modelling in Python☆222Updated 2 months ago
- The tiniest of Gaussian Process libraries☆303Updated 2 weeks ago
- Probabilistic Inference on Noisy Time Series☆231Updated 3 weeks ago
- Simulation-based inference benchmark☆95Updated last month
- ELFI - Engine for Likelihood-Free Inference☆272Updated 7 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Documentation:☆119Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated last month
- Numerical integration of Ito or Stratonovich SDEs☆162Updated last year
- Example codes for the book Applied Stochastic Differential Equations☆185Updated 3 years ago
- Gaussian Process Regression Interactive Javascript Demo☆54Updated 6 years ago
- A list of Python-based MCMC & ABC packages☆124Updated 8 months ago
- A community repository for benchmarking Bayesian methods☆109Updated 3 years ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆215Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆105Updated last month
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Conditional density estimation with neural networks☆30Updated last month
- Probabilistic Numerics in Python.☆448Updated 10 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆432Updated 6 months ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 2 years ago
- ☆144Updated this week