ColCarroll / minimcLinks
Just a little MCMC
☆234Updated last year
Alternatives and similar repositories for minimc
Users that are interested in minimc are comparing it to the libraries listed below
Sorting:
- Manifold Markov chain Monte Carlo methods in Python☆237Updated last week
- ELFI - Engine for Likelihood-Free Inference☆279Updated 7 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- ABCpy package☆116Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 5 years ago
- Gaussian process modelling in Python☆226Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆465Updated 7 months ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆338Updated 3 years ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Probabilistic Inference on Noisy Time Series☆240Updated 3 months ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- 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
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Simulation-based inference benchmark☆107Updated 11 months ago
- The tiniest of Gaussian Process libraries☆327Updated 3 weeks ago
- State of the art inference for your bayesian models.☆231Updated 7 months ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆241Updated last year
- Probabilistic Numerics in Python.☆456Updated 5 months ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆79Updated last year
- A list of Python-based MCMC & ABC packages☆123Updated 6 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Gaussian Process Regression Interactive Javascript Demo☆57Updated 7 years ago
- ☆243Updated 8 years ago
- Probabilistic Programming and Nested sampling in JAX☆216Updated last week
- Solve ODEs fast, with support for PyMC☆117Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 11 months ago