There are 4 repositories under simulation-based-inference topic.
A system for scientific simulation-based inference at scale.
Likelihood-free AMortized Posterior Estimation with PyTorch
Community-sourced list of papers and resources on neural simulation-based inference.
A Python toolkit for (simulation-based) inference and the mechanization of science.
Simulation-based (likelihood-free) inference customized for astronomical applications
SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
Conduct simulation-based inference on strong gravitational lensing systems.
A simulation-based Inference (SBI) library designed to perform analysis on a wide class of gravitational wave signals
Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.
Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
Julia package for neural estimation
Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Neural Simulation-based Inference with GNN for Jeans Modeling
A short course on simulation-based infernce for physics at YSDA in April 2021
Example of a fully Bayesian forecast using evidence networks applied to 21-cm cosmology
Correlation functions versus field-level inference in cosmology: example with log-normal fields
Research code and results for the paper "Simulation-based inference for computational connectomics" (Boelts et al. 2023 PLoS CB, @janfb)
Arbitrary Marginal Neural Ratio Estimation for Likelihood-free Inference
Created for benchmarking different techniques to search for CP violation in the HWW vertex in leptonic WH production.
GPU and TPU implementation of parallelized ABC inference for a stochastic epidemiology model for COVID-19
Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl
pyLFI is a Python toolbox using likelihood-free inference (LFI) methods for estimating the posterior distributions of model parameters.
Repo for testing out Simulation Based Inference (sbi) with Hidden Markov Models (HMM)