bayesiains / density-deconvolution

Related projects ⓘ

Alternatives and complementary repositories for density-deconvolution

• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆30Updated last year
• mwalmsley / galaxy-zoo-bayesian-cnn
  Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)
  ☆19Updated 5 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…
  ☆31Updated 5 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆55Updated 5 months ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆30Updated 3 years ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆20Updated 3 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
  ☆106Updated last year
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆16Updated 9 months ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆27Updated 3 months ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆12Updated 2 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆52Updated 2 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• dpiras / cosmopower-jax
  Differentiable cosmological emulators: the JAX version of CosmoPower
  ☆31Updated 2 weeks ago
• tingyuansen / deep-potential
  ☆16Updated 3 years ago
• simulation-based-inference / simulation-based-inference.github.io
  Website
  ☆11Updated this week
• JoeriHermans / constraining-dark-matter-with-stellar-streams-and-ml
  Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
  ☆17Updated last year
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆17Updated last year
• dfm / emcee-jax
  An experiment: emcee implemented in JAX
  ☆25Updated 2 years ago
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆12Updated last year
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆22Updated 7 months ago
• RobRomijnders / vi_normal
  Variational Inference for a Normal Distribution
  ☆12Updated 6 years ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆29Updated 2 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆31Updated 2 years ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆14Updated 3 months 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 10 months ago
• dingo-gw / flow-matching-posterior-estimation
  ☆19Updated last year
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated last year
• DifferentiableUniverseInitiative / jax-cosmo-paper
  Paper introducing jax-cosmo
  ☆14Updated last year
• WeiWang31 / EnsembleModel
  ☆9Updated 2 years ago