likelihood-free-inference

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sbi-dev /sbi

Star711

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

machine-learning pytorch parameter-estimation bayesian-inference likelihood-free-inference simulation-based-inference

UpdatedJul 11, 2025
Python

ICB-DCM /pyABC

Star216

distributed, likelihood-free inference

abc parameter-inference approximate-bayesian-inference likelihood-free-inference

UpdatedJun 26, 2025
Python

undark-lab /swyft

Star164

A system for scientific simulation-based inference at scale.

python machine-learning pytorch parameter-estimation likelihood-free-inference simulation-based-inference neural-ratio-estimation marginal-neural-ratio-estimation truncated-neural-ratio-estimation

UpdatedMar 30, 2024
Jupyter Notebook

probabilists /lampe

Star130

Likelihood-free AMortized Posterior Estimation with PyTorch

python probability inference pytorch bayesian density-ratio-estimation density-estimation normalizing-flows likelihood-free-inference simulation-based-inference

UpdatedAug 21, 2024
Python

smsharma /awesome-neural-sbi

Star118

Community-sourced list of papers and resources on neural simulation-based inference.

lfi sbi likelihood-free-inference simulation-based-inference neural-simulation-based-inference

UpdatedMay 17, 2025

kimmo1019 /Roundtrip

Star62

Roundtrip: density estimation with deep generative neural networks

deep-learning gan density-estimation deep-generative-model likelihood-free-inference

UpdatedApr 27, 2024
Python

florent-leclercq /Bayes_InfoTheory

Star31

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

UpdatedMay 26, 2025
Jupyter Notebook

msainsburydale /NeuralEstimators.jl

Star24

Julia package for neural estimation

statistics deep-learning parameter-estimation likelihood-free likelihood-free-inference simulation-based-inference

UpdatedJun 22, 2025
Julia

smsharma /jax-conditional-flows

Star20

Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.

density-estimation normalizing-flows likelihood-free-inference simulation-based-inference

UpdatedMar 10, 2024
Jupyter Notebook

JoeriHermans /constraining-dark-matter-with-stellar-streams-and-ml

Sponsor

Star18

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

machine-learning deep-learning astrophysics dark-matter likelihood-free-inference simulation-based-inference

UpdatedDec 8, 2022
Jupyter Notebook

montefiore-institute /balanced-nre

Star14

Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".

machine-learning deep-learning paper classification bayesian-inference likelihood-free-inference simulation-based-inference

UpdatedNov 14, 2022
Jupyter Notebook

JBris /model-calibration-evaluation

Star12

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

UpdatedMar 18, 2025
Python

florent-leclercq /pyselfi

Star10

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

UpdatedJan 27, 2023
Jupyter Notebook

JuliaApproxInference /LikelihoodfreeInference.jl

Star6

Likelihood-Free Inference for Julia.

abc likelihood-free approximate-bayesian-computation approximate-bayesian-inference likelihood-free-inference

UpdatedMar 14, 2022
Julia

pablodecm /paper-inferno

Star5

Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.

high-energy-physics summary-statistics likelihood-free-inference

UpdatedJul 6, 2020
Python

florent-leclercq /correlations_vs_field

Star4

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

UpdatedNov 24, 2022
Jupyter Notebook

GilesStrong /pytorch_inferno

Star4

PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018https://www.sciencedirect.com/science/article/pii/S0010465519301948)

inferno pytorch statistical-inference neural-networks likelihood-free-inference

UpdatedApr 12, 2023
Jupyter Notebook

jmwalchessen /neural_likelihood

Star4

Code for "Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods" (arxiv:2305.04634)

neural-networks uncertainty-quantification spatial-statistics likelihood-free-inference

UpdatedDec 9, 2023
Jupyter Notebook

florent-leclercq /lotkavolterra_simulator

Star3

Simulator of the Lotka-Volterra prey-predator system with demographic and observational noise and biases

simulator biology ecology ecological-modelling approximate-bayesian-computation likelihood-free-inference

UpdatedApr 4, 2025
Jupyter Notebook

JBris /deep-root-gen

Star3

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

deep-learning crop-model bayesian-inference bayesian-statistics 3d-models dash-app simulation-modeling 3d-modelling normalizing-flows sequential-monte-carlo approximate-bayesian-computation crop-modeling dash-plotly generative-neural-network optuna likelihood-free-inference root-system simulation-based-inference normalising-flows root-system-architecture

UpdatedNov 20, 2024
Python

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likelihood-free-inference

Here are 41 public repositories matching this topic...

sbi-dev /sbi

ICB-DCM /pyABC

undark-lab /swyft

probabilists /lampe

smsharma /awesome-neural-sbi

kimmo1019 /Roundtrip

florent-leclercq /Bayes_InfoTheory

msainsburydale /NeuralEstimators.jl

smsharma /jax-conditional-flows

JoeriHermans /constraining-dark-matter-with-stellar-streams-and-ml

montefiore-institute /balanced-nre

JBris /model-calibration-evaluation

florent-leclercq /pyselfi

JuliaApproxInference /LikelihoodfreeInference.jl

pablodecm /paper-inferno

florent-leclercq /correlations_vs_field

GilesStrong /pytorch_inferno

jmwalchessen /neural_likelihood

florent-leclercq /lotkavolterra_simulator

JBris /deep-root-gen

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