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 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆55Updated 2 weeks ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆22Updated 3 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
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆31Updated last year
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆18Updated last year
• WeiWang31 / EnsembleModel
  ☆9Updated 2 years ago
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆14Updated 2 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆108Updated last year
• mwalmsley / galaxy-zoo-bayesian-cnn
  Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)
  ☆19Updated 5 years ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆29Updated 2 years ago
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆23Updated 10 months ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated last month
• dingo-gw / flow-matching-posterior-estimation
  ☆24Updated last year
• dfm / emcee-jax
  An experiment: emcee implemented in JAX
  ☆25Updated 2 years ago
• tingyuansen / deep-potential
  ☆16Updated 4 years ago
• tlmakinen / cosmicGraphs
  Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202
  ☆12Updated last year
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated last year
• dpiras / cosmopower-jax
  Differentiable cosmological emulators: the JAX version of CosmoPower
  ☆36Updated 2 months ago
• gwastro / gw150914_investigation
  Investigating the noise residuals around the gravitational wave event GW150914
  ☆12Updated 5 years ago
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆17Updated last year
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated last year
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆38Updated 2 weeks ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆12Updated 2 years ago
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 4 years ago
• htjb / margarine
  Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.
  ☆13Updated last week
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• vallis / truebayes
  Deep neural networks for gravitational-wave posterior estimation
  ☆14Updated 5 years ago