Alternatives and similar repositories for balanced-nre

Users that are interested in balanced-nre are comparing it to the libraries listed below

• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆18Updated 2 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated 10 months ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆57Updated 3 weeks ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆20Updated last year
• dingo-gw / flow-matching-posterior-estimation
  ☆27Updated last year
• simulation-based-inference / simulation-based-inference.github.io
  Website
  ☆11Updated this week
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆109Updated last year
• 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.
  ☆18Updated 2 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated last month
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆20Updated this week
• 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
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆31Updated 5 months ago
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆25Updated last year
• JAXtronomy / spexial
  Special functions in Jax
  ☆14Updated 4 months ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 5 years ago
• EiffL / LLMAssistedResearch
  Exploring how ChatGPT can be used to accelerate research in cosmology.
  ☆12Updated 2 years ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆11Updated last year
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• dfm / cv
  My CV
  ☆37Updated this week
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆187Updated last week
• dpiras / cosmopower-jax
  Differentiable cosmological emulators: the JAX version of CosmoPower
  ☆40Updated 3 weeks ago
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆15Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago