epydemix, the ABC of epidemics
- Updated
Oct 7, 2025 - Jupyter Notebook
epydemix, the ABC of epidemics
Simulation-based inference in JAX
Lectures on Bayesian statistics and information theory
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
A toolbox for the calibration and evaluation of simulation models.
pyABC: distributed, likelihood-free inference
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
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
A toolbox for C++ devs wanting to build geospatial population genetics simulators !
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
Adding Noise Noise Canceling Image resizing Resolution Study Filtering processes -Midic filter -Mean filter -Laplasian filter Photo Sharpening
ABC random forests for model choice and parameter estimation, pure C++ implementation
The official code repo for HyperAgent algorithm published in ICML 2024.
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.
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.
User interface to DIYABC/AbcRanger
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