likelihood-free-inference

Here are 44 public repositories matching this topic...

sbi-dev / sbi

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

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👁 pyABC

ICB-DCM / pyABC

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distributed, likelihood-free inference

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

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Python

undark-lab / swyft

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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

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Jupyter Notebook

smsharma / awesome-neural-sbi

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

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

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👁 lampe

probabilists / lampe

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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

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Python

kimmo1019 / Roundtrip

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Roundtrip: density estimation with deep generative neural networks

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

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msainsburydale / NeuralEstimators.jl

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Julia package for simulation-based, likelihood-free parameter inference using neural networks.

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

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Julia

florent-leclercq / Bayes_InfoTheory

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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

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Jupyter Notebook

smsharma / jax-conditional-flows

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

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

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Jupyter Notebook

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

Sponsor

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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

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Jupyter Notebook

JBris / model-calibration-evaluation

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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

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Python

montefiore-institute / balanced-nre

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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

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Jupyter Notebook

synthesizer-project / synference

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Flexible SED fitting using Synthesizer, powered by Simulation Based Inference

astronomy astrophysics photometry bayesian-inference spectroscopy sbi sed-fitting likelihood-free-inference simulation-based-inference

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florent-leclercq / pyselfi

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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

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Jupyter Notebook

JuliaApproxInference / LikelihoodfreeInference.jl

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Likelihood-Free Inference for Julia.

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

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Julia

jmwalchessen / neural_likelihood

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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

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Jupyter Notebook

pablodecm / paper-inferno

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

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

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florent-leclercq / correlations_vs_field

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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

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Jupyter Notebook

GilesStrong / pytorch_inferno

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

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

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Jupyter Notebook

JBris / deep-root-gen

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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

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Python

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