ColCarroll / minimc
Just a little MCMC
☆223Updated 9 months ago
Alternatives and similar repositories for minimc:
Users that are interested in minimc are comparing it to the libraries listed below
- Manifold Markov chain Monte Carlo methods in Python☆230Updated 2 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆128Updated 4 years ago
- ABCpy package☆114Updated 11 months ago
- ELFI - Engine for Likelihood-Free Inference☆273Updated 9 months ago
- Gaussian process modelling in Python☆222Updated 4 months ago
- The tiniest of Gaussian Process libraries☆306Updated this week
- 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
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆233Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆55Updated 8 months ago
- State of the art inference for your bayesian models.☆208Updated this week
- Statistical Rethinking (2nd ed.) with NumPyro☆455Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 6 months ago
- Probabilistic Programming and Nested sampling in JAX☆174Updated this week
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated last year
- Gaussian Process Regression Interactive Javascript Demo☆55Updated 6 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- A list of Python-based MCMC & ABC packages☆123Updated 10 months ago
- Probabilistic Inference on Noisy Time Series☆235Updated 2 months ago
- Solve ODEs fast, with support for PyMC☆112Updated 11 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 3 years ago
- Simulation-based inference benchmark☆96Updated 2 months ago
- Probabilistic Numerics in Python.☆448Updated 11 months ago
- Python wrapper for nuts-rs☆144Updated last week
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 11 months ago
- Gaussian processes in JAX and Flax.☆496Updated this week
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Functional tensors for probabilistic programming☆239Updated last year
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆680Updated this week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆126Updated 7 months ago