Lectures on Bayesian statistics and information theory

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Simulation-based inference in JAX

pyABC: distributed, likelihood-free inference

Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods

A toolbox for C++ devs wanting to build geospatial population genetics simulators !

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation

ABC random forests for model choice and parameter estimation, pure C++ implementation

Adding Noise Noise Canceling Image resizing Resolution Study Filtering processes -Midic filter -Mean filter -Laplasian filter Photo Sharpening

CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.

Likelihood-Free Inference for Julia.

The official code repo for HyperAgent algorithm published in ICML 2024.

Correlation functions versus field-level inference in cosmology: example with log-normal fields

User interface to DIYABC/AbcRanger

Trabajo de Fin de Grado de Física 2022

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

Figuring out how Approximate Bayesian Computation works and how it can be applied to geological modeling.