Topic: likelihood-free-inference Goto Github
Some thing interesting about likelihood-free-inference
Some thing interesting about likelihood-free-inference
likelihood-free-inference,Cosmology from HI maps using CNNs in PyTorch
User: andrejobuljen
likelihood-free-inference,Lectures on Bayesian statistics and information theory
User: florent-leclercq
Home Page: https://florent-leclercq.eu/teaching.php
likelihood-free-inference,Correlation functions versus field-level inference in cosmology: example with log-normal fields
User: florent-leclercq
Home Page: https://florent-leclercq.eu
likelihood-free-inference,Simulator of the Lotka-Volterra prey-predator system with demographic and observational noise and biases
User: florent-leclercq
Home Page: https://pyselfi.florent-leclercq.eu
likelihood-free-inference,Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
User: florent-leclercq
Home Page: http://pyselfi.florent-leclercq.eu/
likelihood-free-inference,Arbitrary Marginal Neural Ratio Estimation for Likelihood-free Inference
User: francois-rozet
likelihood-free-inference,PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)
User: gilesstrong
Home Page: https://gilesstrong.github.io/pytorch_inferno/
likelihood-free-inference,distributed, likelihood-free inference
Organization: icb-dcm
Home Page: https://pyabc.rtfd.io
likelihood-free-inference,A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
User: jbris
Home Page: https://jbris.github.io/deep-root-gen/
likelihood-free-inference,Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
User: jbris
Home Page: https://jbris.github.io/model-calibration-evaluation/
likelihood-free-inference,Code for "Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods" (arxiv:2305.04634)
User: jmwalchessen
Home Page: https://arxiv.org/abs/2305.04634
likelihood-free-inference,This is an interactive app (run on local computer) to visualize neural likelihood surfaces from the paper "Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods"
User: jmwalchessen
Home Page: https://arxiv.org/abs/2305.04634
likelihood-free-inference,Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
User: joerihermans
likelihood-free-inference,Likelihood-Free Inference for Julia.
Organization: juliaapproxinference
likelihood-free-inference,Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl
Organization: juliaepi
likelihood-free-inference,Roundtrip: density estimation with deep generative neural networks
User: kimmo1019
Home Page: https://pypi.org/project/pyroundtrip/
likelihood-free-inference,Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.
User: leonrenn
likelihood-free-inference,My framework to perform likelihood-free inference with toy models or real-life simulation
User: lucien1011
likelihood-free-inference,Approximate Bayesian Computation
User: mjvakili
likelihood-free-inference,Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
Organization: montefiore-institute
likelihood-free-inference,Julia package for neural estimation
User: msainsburydale
likelihood-free-inference,pyLFI is a Python toolbox using likelihood-free inference (LFI) methods for estimating the posterior distributions of model parameters.
User: nicolossus
Home Page: https://pylfi.readthedocs.io
likelihood-free-inference,Detection is truncation: studying source populations with truncated marginal neural ratio estimation. Code repository associated with https://arxiv.org/abs/2211.04291.
User: noemiam
Home Page: https://arxiv.org/abs/2211.04291
likelihood-free-inference,Shiny application for prior elicitation experiments from "Probabilistic elicitation of expert knowledge through assessment of computer simulations"
Organization: ocbe-uio
Home Page: https://arxiv.org/abs/2002.10902
likelihood-free-inference,Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.
User: pablodecm
Home Page: https://arxiv.org/abs/1806.04743
likelihood-free-inference,Likelihood-free AMortized Posterior Estimation with PyTorch
Organization: probabilists
Home Page: https://lampe.readthedocs.io
likelihood-free-inference,Simulation-based inference toolkit
Organization: sbi-dev
Home Page: https://sbi-dev.github.io/sbi/
likelihood-free-inference,Community-sourced list of papers and resources on neural simulation-based inference.
User: smsharma
likelihood-free-inference,Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
User: smsharma
likelihood-free-inference,Repository for simulated genetic data presented by Nunes and Balding (2010).
User: tillahoffmann
Home Page: https://paperswithcode.com/dataset/summaries-of-genetic-variation
likelihood-free-inference,Comparison of summary statistic selection methods with a unifying perspective.
User: tillahoffmann
Home Page: https://arxiv.org/abs/2206.02340
likelihood-free-inference,
User: tillahoffmann
likelihood-free-inference,A system for scientific simulation-based inference at scale.
Organization: undark-lab
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