Projects in Awesome Lists tagged with approximate-bayesian-computation
A curated list of projects in awesome lists tagged with approximate-bayesian-computation .
https://github.com/dirmeier/sbijax
Simulation-based inference in JAX
abc approximate-bayesian-computation normalizing-flows python simulation-based-inference smc-abc
Last synced: 07 Oct 2025
https://github.com/francescoalemanno/kissabc.jl
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
approximate-bayesian-computation bayesian-data-analysis bayesian-inference julia-language kissabc probabilistic-inference statistical-inference
Last synced: 10 Apr 2025
https://github.com/francescoalemanno/KissABC.jl
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
approximate-bayesian-computation bayesian-data-analysis bayesian-inference julia-language kissabc probabilistic-inference statistical-inference
Last synced: 04 May 2025
https://github.com/neuralyzer/pyabc
pyABC: distributed, likelihood-free inference
approximate-bayesian-computation distributed-computing parallel-computing python sequential-monte-carlo
Last synced: 02 May 2025
https://github.com/mauricelanghinrichs/abcdez.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
approximate-bayesian-computation bayesian-inference julia likelihood-free marginal-likelihood model-evidence model-selection monte-carlo-methods parameter-estimation posterior-probability statistical-inference
Last synced: 13 Mar 2026
https://github.com/florent-leclercq/pyselfi
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
approximate-bayesian-computation bayesian-data-analysis cosmology galaxy-clustering large-scale-structure likelihood-free-inference
Last synced: 14 Jan 2026
https://github.com/nisanurbulut/matlabimageprocessing
Adding Noise Noise Canceling Image resizing Resolution Study Filtering processes -Midic filter -Mean filter -Laplasian filter Photo Sharpening
approximate-bayesian-computation correlation-filters correlation-matrices edge-detection fourier-transform gaussian-filter image-processing laplace-smoothing laplasian matlob mean-filter saltandpepper
Last synced: 24 Apr 2025
https://github.com/americocunhajr/ce-abc
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
approximate-bayesian-computation bayesian-inference compartmental-models computational-biology computational-epidemiology cross-entropy-method epidemic-simulations epidemiology mechanistic-models
Last synced: 20 Jun 2025
https://github.com/jbris/model-calibration-evaluation
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
approximate-bayesian-computation bayesian-optimization bayesian-statistics bolfi deep-learning differential-evolution-mcmc generative-neural-network global-optimization kriging likelihood-free-inference optuna polynomial-chaos polynomial-chaos-expansion pymc sensitivity-analysis shuffled-complex-evolution simulation-based-inference sobol-indices surrogate-models uncertainty-analysis
Last synced: 04 May 2025
https://github.com/florent-leclercq/correlations_vs_field
Correlation functions versus field-level inference in cosmology: example with log-normal fields
approximate-bayesian-computation bayesian-data-analysis cosmological-inference cosmology data-assimilation likelihood-free-inference markov-chain-monte-carlo simulation-based-inference
Last synced: 17 Jan 2026
https://github.com/jbris/deep-root-gen
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
3d-modelling 3d-models approximate-bayesian-computation bayesian-inference bayesian-statistics crop-model crop-modeling dash-app dash-plotly deep-learning generative-neural-network likelihood-free-inference normalising-flows normalizing-flows optuna root-system root-system-architecture sequential-monte-carlo simulation-based-inference simulation-modeling
Last synced: 20 Sep 2025
https://github.com/quanticpony/analysis-of-effectiveness-of-lockdown-policies-for-desease-containment
Trabajo de Fin de Grado de Física 2022
approximate-bayesian-computation bayesian-inference covid-19 epidemic-model epidemic-simulations quare
Last synced: 10 Oct 2025
https://github.com/florent-leclercq/lotkavolterra_simulator
Simulator of the Lotka-Volterra prey-predator system with demographic and observational noise and biases
approximate-bayesian-computation biology ecological-modelling ecology likelihood-free-inference simulator
Last synced: 17 Jan 2026
https://github.com/dirmeier/ssnl
Simulation-based inference using SSNL
approximate-bayesian-computation approximate-inference bayesian-inference jax normalizing-flows simulation-based-inference
Last synced: 17 Apr 2026
https://github.com/jaspervrugt/abc-pmc
Approximation Bayesian Computation: Population Monte Carlo in MATLAB and Python
approximate-bayesian-computation epsilon-adaptation likelihood-free-inference model-diagnostics population-monte-carlo posterior-sampling summary-metrics transition-density
Last synced: 27 Apr 2026
https://github.com/jbris/likelihood_free_hyperpriors_test
Testing out hyper-priors for likelihood-free methods
abc approximate-bayesian-computation elfi hyperprior likelihood-free-inference multi-level-modeling pyabc pymc
Last synced: 17 Jun 2025
https://github.com/isaacovercast/gimmesad
Joint modelling of abundance and genetic diversity. An integrated model of population genetics and community ecology.
abundance approximate-bayesian-computation community-ecology community-genetic-diversity population-genetics species-abundance-distributions
Last synced: 11 Feb 2026
https://github.com/astrabert/diyabc-support-tutorial
DIYABC support tutorial from my experience
approximate-bayesian-computation beginner-friendly diyabc population-genetics tutorial
Last synced: 02 Jan 2026
https://github.com/tillahoffmann/summaries
Comparison of summary statistic selection methods with a unifying perspective.
approximate-bayesian-computation conditional-density-estimation data-compression information-theory likelihood-free-inference simulation-based-inference summary-statistics
Last synced: 03 Mar 2025