ICB-DCM / pyABCLinks
distributed, likelihood-free inference
☆217Updated 4 months ago
Alternatives and similar repositories for pyABC
Users that are interested in pyABC are comparing it to the libraries listed below
Sorting:
- Probabilistic Inference on Noisy Time Series☆239Updated last month
- Solve ODEs fast, with support for PyMC☆117Updated last year
- python Parameter EStimation TOolbox☆262Updated last week
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆241Updated last year
- ABCpy package☆116Updated last year
- A list of Python-based MCMC & ABC packages☆123Updated 5 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆58Updated last year
- Probabilistic Numerics in Python.☆459Updated 4 months ago
- PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology☆60Updated 3 weeks ago
- numba_scipy extends Numba to make it aware of SciPy☆274Updated last year
- Probabilistic Programming and Nested sampling in JAX☆210Updated 3 months ago
- The tiniest of Gaussian Process libraries☆324Updated this week
- Dynamic Nested Sampling package for computing Bayesian posteriors and evidences☆392Updated last month
- Solve automatic numerical differentiation problems in one or more variables.☆276Updated last month
- High-performance sensitivity analysis for large ordinary differential equation models☆127Updated this week
- Python wrapper for nuts-rs☆177Updated last week
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Optimal numerical differentiation of noisy time series data in python.☆66Updated 4 months ago
- Just a little MCMC☆232Updated last year
- Chaospy - Toolbox for performing uncertainty quantification.☆466Updated 2 months ago
- ELFI - Engine for Likelihood-Free Inference☆276Updated 6 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆230Updated 3 years ago
- Gaussian process modelling in Python☆225Updated 10 months ago
- Manifold Markov chain Monte Carlo methods in Python☆235Updated 2 weeks ago
- Randomization-based inference in Python☆84Updated last week
- Make some beautiful corner plots☆549Updated last week
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- A simple matplotlib wrapper that automatically scales font sizes, scatter point sizes, and line widths to be proportional to figure size.☆109Updated 3 years ago
- Numba-accelerated statistical distributions☆65Updated last month