Julia package for neural estimation
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Updated
May 20, 2024 - Julia
Julia package for neural estimation
Simulation-based inference toolkit
Example of a fully Bayesian forecast using evidence networks applied to 21-cm cosmology
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
This repo contains examples of how to use Simulink simulation to perform simulation-based inference calculations in Python
Simulation-based inference in JAX
Repo for: Avecilla et al (2022) Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics. PLOS Biology. doi:10.1371/journal.pbio.3001633
A system for scientific simulation-based inference at scale.
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
Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
Community-sourced list of papers and resources on neural simulation-based inference.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Likelihood-free AMortized Posterior Estimation with PyTorch
Created for benchmarking different techniques to search for CP violation in the HWW vertex in leptonic WH production.
Companion code to Confavreux*, Ramesh*, Goncalves, Macke* & Vogels*, Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference, NeurIPS 2023
Simulation-based (likelihood-free) inference customized for astronomical applications
Research code and results for the paper "Simulation-based inference for computational connectomics" (Boelts et al. 2023 PLoS CB, @janfb)
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