ColCarroll / minimc
Just a little MCMC
☆226Updated 10 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 last week
- ABCpy package☆114Updated 11 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- 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
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆235Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- ELFI - Engine for Likelihood-Free Inference☆274Updated 9 months ago
- Gaussian process modelling in Python☆223Updated 4 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆129Updated 4 years ago
- State of the art inference for your bayesian models.☆212Updated this week
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 11 months ago
- Probabilistic Inference on Noisy Time Series☆235Updated 2 months ago
- Statistical Rethinking (2nd ed.) with NumPyro☆456Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- Simulation-based inference benchmark☆96Updated 3 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆56Updated 9 months ago
- The tiniest of Gaussian Process libraries☆307Updated 3 weeks ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 6 months ago
- Documentation:☆119Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Statistical Rethinking with PyTorch and Pyro☆163Updated 5 years ago
- Solve ODEs fast, with support for PyMC☆112Updated 11 months ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆340Updated 2 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated last year
- Tools for an Aesara-based PPL.☆65Updated 6 months ago
- Probabilistic Programming and Nested sampling in JAX☆177Updated 3 weeks ago
- Gaussian Process Regression Interactive Javascript Demo☆55Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- A list of Python-based MCMC & ABC packages☆123Updated 11 months ago