Alternatives and similar repositories for practical_training

Users that are interested in practical_training are comparing it to the libraries listed below

• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated 2 years ago
• syrte / ndtest
  multi-dimensional statistical test with python
  ☆99Updated last year
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆132Updated last year
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 5 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆108Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆79Updated 7 months ago
• tmcclintock / ConditionalGMM
  Functions to compute conditional distributions of Gaussian mixture models.
  ☆13Updated 8 months ago
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆776Updated this week
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆216Updated last month
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆143Updated this week
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆463Updated last year
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• lee-group-cmu / FlexCode
  Implementation of Flexible Conditional Density Estimator
  ☆26Updated 6 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• francois-rozet / dawgz
  Unleash the true power of scheduling
  ☆33Updated 9 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆255Updated 2 months ago
• pnnl / DDKS
  A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
  ☆27Updated 3 years ago
• Ciela-Institute / PQM
  Implemenation of PQMass from Lemos et al. 2024
  ☆19Updated 9 months ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆44Updated 2 months ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated last year
• SihaoCheng / scattering_transform
  A webpage for the scattering transform. To calculate, you just need the folder called "scattering".
  ☆61Updated last year
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated last week
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆43Updated 2 years ago
• treforevans / uci_datasets
  Regression datasets from the UCI repository with standardized test-train splits.
  ☆52Updated 3 years ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆219Updated last month
• zhao-david / CDE-diagnostics
  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
  ☆15Updated 3 years ago