ICB-DCM / pyABC
distributed, likelihood-free inference
☆212Updated 5 months ago
Alternatives and similar repositories for pyABC:
Users that are interested in pyABC are comparing it to the libraries listed below
- python Parameter EStimation TOolbox☆239Updated 2 weeks ago
- Probabilistic Inference on Noisy Time Series☆235Updated 2 months ago
- ABCpy package☆114Updated 11 months ago
- Solve ODEs fast, with support for PyMC☆112Updated 11 months ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆233Updated last year
- PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology☆61Updated 2 weeks ago
- A list of Python-based MCMC & ABC packages☆123Updated 10 months ago
- Probabilistic Numerics in Python.☆448Updated 11 months ago
- Advanced Multilanguage Interface to CVODES and IDAS☆117Updated this week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆55Updated 8 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆128Updated 4 years ago
- Dynamic Nested Sampling package for computing Bayesian posteriors and evidences☆377Updated last month
- The tiniest of Gaussian Process libraries☆306Updated this week
- Chaospy - Toolbox for performing uncertainty quantification.☆457Updated last month
- Make some beautiful corner plots☆534Updated this week
- ELFI - Engine for Likelihood-Free Inference☆273Updated 9 months ago
- Just a little MCMC☆223Updated 9 months ago
- A system for scientific simulation-based inference at scale.☆163Updated last year
- Python wrapper for nuts-rs☆144Updated last week
- Numerical integration of Ito or Stratonovich SDEs☆167Updated 2 years ago
- Manifold Markov chain Monte Carlo methods in Python☆230Updated 2 months ago
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆348Updated 9 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 3 years ago
- 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
- Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.☆22Updated last month
- multi-dimensional statistical test with python☆94Updated 4 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆229Updated 2 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- A workflow for reproducible and open scientific articles☆598Updated this week