elfi-dev / elfiLinks
ELFI - Engine for Likelihood-Free Inference
☆276Updated 6 months ago
Alternatives and similar repositories for elfi
Users that are interested in elfi are comparing it to the libraries listed below
Sorting:
- Just a little MCMC☆232Updated last year
- ABCpy package☆116Updated last year
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆338Updated 2 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆78Updated last year
- Render probabilistic graphical models using matplotlib☆684Updated this week
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- ☆241Updated 8 years ago
- Fast and flexible Gaussian Process regression in Python☆459Updated 2 weeks ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 5 months ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆390Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆235Updated 2 weeks ago
- ☆156Updated 6 years ago
- 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
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- megaman: Manifold Learning for Millions of Points☆331Updated 2 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Image Markov Chain Monte Carlo☆244Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Updated last year
- Statistical Rethinking (2nd ed.) with NumPyro☆463Updated 6 months ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Updated last year
- Bayesian Regression Models in Pyro☆73Updated last year
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago