likelihood-free

There are 0 repository under likelihood-free topic.

bayesflow-org / bayesflow
A Python library for amortized Bayesian workflows using generative neural networks.
amortized-inference bayesian-inference deep-learning invertible-networks likelihood-free model-comparison parameter-estimation simulation-based uncertainty-quantification
Language:Python 373
elfi
elfi-dev / elfi
ELFI - Engine for Likelihood-Free Inference
inference simulator python statistics bayesian-inference bayesian likelihood-free
Language:Python 267
kingaa / pomp
R package for statistical inference using partially observed Markov processes
mathematical-modelling statistical-inference dynamical-systems stochastic-processes state-space markov-model particle-filter likelihood-free likelihood r time-series abc markov-chain-monte-carlo sequential-monte-carlo sobol-sequence b-spline differential-equations measurement-error iterated-filtering simulation-based-inference
Language:R 114
mackelab / delfi
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
density-estimation bayesian-inference abc neural-networks machine-learning simulation-based-inference likelihood-free
Language:Python 72
montefiore-institute / hypothesis
A Python toolkit for (simulation-based) inference and the mechanization of science.
inference deep-learning likelihood-free simulation-based-inference
Language:Python 52
acerbilab / ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
log-likelihood likelihood-free sampling simulation-model matlab
Language:MATLAB 31
msainsburydale / NeuralEstimators.jl
Julia package for neural estimation
deep-learning likelihood-free likelihood-free-inference parameter-estimation statistics simulation-based-inference
Language:Julia 16
mauricelanghinrichs / ABCdeZ.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
approximate-bayesian-computation bayesian-inference monte-carlo-methods posterior-probability statistical-inference julia model-selection parameter-estimation likelihood-free marginal-likelihood model-evidence
Language:Julia 11
sbitzer / pyEPABC
A Python implementation of EP-ABC for likelihood-free, probabilistic inference.
bayesian-inference monte-carlo-simulation approximate likelihood-free probabilistic-models
Language:Python 7
JuliaApproxInference / LikelihoodfreeInference.jl
Likelihood-Free Inference for Julia.
abc approximate-bayesian-computation likelihood-free-inference approximate-bayesian-inference likelihood-free
Language:Julia 6
acerbilab / pyibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
log-likelihood python likelihood-free sampling simulation-model
Language:Jupyter Notebook 3
gutmanngroup / seqbed
Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.
bayesian-experimental-design likelihood-free implicit-models
Language:Python 0
MINING-GOLD-FROM-GENERATORS
leonrenn / MINING-GOLD-FROM-GENERATORS
Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.
binary-crossentropy comparison data-efficient-learning data-science likelihood-free likelihood-free-inference likelihood-ratio machine-learning neural-network neural-networks particle-physics physics regression seminar
Language:Jupyter Notebook 0
lacerbi / ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
likelihood-free log-likelihood matlab sampling simulation-model pyhton