Simulation-based inference in JAX
-
Updated
Apr 12, 2025 - Python
#
approximate-bayesian-computation
Here are 49 public repositories matching this topic...
Lectures on Bayesian statistics and information theory
machine-learning information-theory maxent data-analysis bayesian-statistics markov-chain-monte-carlo lecture-material decision-theory denoising approximate-bayesian-computation binary-channel deblending likelihood-free-inference
-
Updated
May 5, 2025 - Jupyter Notebook
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
julia-language statistical-inference bayesian-inference bayesian-data-analysis approximate-bayesian-computation probabilistic-inference kissabc
-
Updated
Apr 28, 2023 - Julia
A toolbox for the calibration and evaluation of simulation models.
evolutionary-algorithms abc model-calibration uncertainty-quantification sensitivity-analysis bayesian-optimization active-learning optimisation uncertainty-analysis experimental-design sbi approximate-bayesian-computation reliability-analysis surrogate-models bayesian-quadrature surrogate-based-optimization optimal-experimental-design bayesian-calibration history-matching simulation-based-inference
-
Updated
May 1, 2025 - Python
pyABC: distributed, likelihood-free inference
python parallel-computing distributed-computing sequential-monte-carlo approximate-bayesian-computation
-
Updated
Jan 26, 2018
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
particle-filter gaussian-processes bayesian-optimization stochastic-volatility-models portfolio-analysis approximate-bayesian-computation approximate-inference gaussian-process-optimisation alpha-stable-processes
-
Updated
Nov 29, 2017 - Python
A toolbox for C++ devs wanting to build geospatial population genetics simulators !
-
Updated
May 4, 2025 - C++
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
julia statistical-inference model-selection parameter-estimation bayesian-inference likelihood-free monte-carlo-methods posterior-probability approximate-bayesian-computation marginal-likelihood model-evidence
-
Updated
Mar 12, 2025 - Julia
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
deep-learning pymc global-optimization sensitivity-analysis bayesian-optimization bayesian-statistics kriging uncertainty-analysis approximate-bayesian-computation polynomial-chaos-expansion surrogate-models generative-neural-network optuna likelihood-free-inference simulation-based-inference sobol-indices shuffled-complex-evolution differential-evolution-mcmc polynomial-chaos bolfi
-
Updated
Mar 18, 2025 - Python
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
cosmology large-scale-structure bayesian-data-analysis approximate-bayesian-computation galaxy-clustering likelihood-free-inference
-
Updated
Jan 27, 2023 - Jupyter Notebook
ABC random forests for model choice and parameter estimation, pure C++ implementation
-
Updated
Oct 7, 2024 - Jupyter Notebook
Adding Noise Noise Canceling Image resizing Resolution Study Filtering processes -Midic filter -Mean filter -Laplasian filter Photo Sharpening
image-processing edge-detection gaussian-filter fourier-transform correlation-filters correlation-matrices approximate-bayesian-computation mean-filter laplace-smoothing saltandpepper laplasian matlob
-
Updated
Feb 19, 2021 - MATLAB
epydemix, the ABC of epidemics
-
Updated
May 6, 2025 - Jupyter Notebook
The official code repo for HyperAgent algorithm published in ICML 2024.
agent reinforcement-learning deep-learning uncertainty dqn exploration approximate-bayesian-computation
-
Updated
Oct 21, 2024 - Python
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
computational-biology epidemiology bayesian-inference approximate-bayesian-computation mechanistic-models compartmental-models cross-entropy-method epidemic-simulations computational-epidemiology
-
Updated
Apr 4, 2025 - MATLAB
Likelihood-Free Inference for Julia.
abc likelihood-free approximate-bayesian-computation approximate-bayesian-inference likelihood-free-inference
-
Updated
Mar 14, 2022 - Julia
User interface to DIYABC/AbcRanger
-
Updated
Aug 30, 2024 - R
Trabajo de Fin de Grado de Física 2022
bayesian-inference approximate-bayesian-computation epidemic-model epidemic-simulations covid-19 quare
-
Updated
Jan 30, 2024 - Python
Correlation functions versus field-level inference in cosmology: example with log-normal fields
cosmology data-assimilation bayesian-data-analysis markov-chain-monte-carlo approximate-bayesian-computation likelihood-free-inference cosmological-inference simulation-based-inference
-
Updated
Nov 24, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the approximate-bayesian-computation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the approximate-bayesian-computation topic, visit your repo's landing page and select "manage topics."