jakeret / abcpmc
Approximate Bayesian Computation Population Monte Carlo
☆41Updated 5 years ago
Alternatives and similar repositories for abcpmc:
Users that are interested in abcpmc are comparing it to the libraries listed below
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22Updated 4 years ago
- ABCpy package☆114Updated 10 months ago
- Some notes about MCMC☆44Updated 7 years ago
- Python MCMC Sampler☆33Updated last month
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago
- chapters of a book Hogg will never write☆90Updated 3 months ago
- Diffusive Nested Sampling☆69Updated 5 months ago
- DEPRECATED: use dfm/emcee version 3 instead☆21Updated 5 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- A non-traditional TensorFlow tutorial☆49Updated 4 years ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Source for our paper on multiband periodograms.☆32Updated 5 years ago
- PyMC Extras extracted from the "exoplanet" library☆19Updated last month
- A list of Python-based MCMC & ABC packages☆123Updated 10 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- Notebook tutorials☆14Updated last year
- Fast & scalable Gaussian Processes in one dimension☆74Updated last week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆53Updated 8 months ago
- ☆16Updated 4 years ago
- Parallel tempering MCMC sampler package written in Python☆52Updated 7 months ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆29Updated 2 years ago
- Likelihood-free inference toolbox.☆57Updated 7 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆183Updated last week
- Simulation based calibration and generation of synthetic data.☆49Updated 3 weeks ago
- Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press☆47Updated 2 years ago
- Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data☆80Updated 4 months ago
- Clustering with variational Bayes and population Monte Carlo☆49Updated 7 months ago