Alternatives and similar repositories for density-deconvolution

Users that are interested in density-deconvolution are comparing it to the libraries listed below

• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 3 months ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆22Updated 3 years ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• smsharma / mining-for-substructure-lens
  Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…
  ☆32Updated 5 years ago
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆15Updated 3 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated last year
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 2 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 2 months ago
• vallis / truebayes
  Deep neural networks for gravitational-wave posterior estimation
  ☆14Updated 5 years ago
• dfm / emcee-jax
  An experiment: emcee implemented in JAX
  ☆26Updated 3 years ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆33Updated 7 months ago
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated last month
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 5 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• dpiras / cosmopower-jax
  Differentiable cosmological emulators: the JAX version of CosmoPower
  ☆40Updated 2 months ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• tingyuansen / deep-potential
  ☆16Updated 4 years ago
• gwastro / gw150914_investigation
  Investigating the noise residuals around the gravitational wave event GW150914
  ☆12Updated 6 years ago
• htjb / margarine
  Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.
  ☆13Updated 6 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆239Updated last year
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆40Updated 2 months ago
• stephengreen / lfi-gw
  Likelihood-Free Inference for Gravitational Waves
  ☆42Updated 3 years ago
• eXtremeGravityInstitute / WDM_Transform
  Codes to compute the WDM wavelet transform
  ☆11Updated 4 years ago
• sterinaldi / FIGARO
  Fast Inference for GW Astronomy, Research and Observations
  ☆20Updated this week
• hoyc1 / bilby_lisa
  ☆12Updated 5 months ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆14Updated 6 years ago
• wangbingjie / sbi_pp
  Simulation-based (likelihood-free) inference customized for astronomical applications
  ☆29Updated 9 months ago
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆25Updated last year