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
  ☆109Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆56Updated 2 weeks ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆33Updated 2 years ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 4 years ago
• flatironinstitute / disBatch
  Dynamic dispatch of a list of command-line tasks, locally or on a cluster. Supports retrying failed tasks, and adding/removing compute re…
  ☆45Updated last month
• zhao-david / CDE-diagnostics
  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
  ☆14Updated 3 years ago
• lee-group-cmu / FlexCode
  Implementation of Flexible Conditional Density Estimator
  ☆23Updated 2 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated 2 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆67Updated 11 months ago
• Ciela-Institute / PQM
  Implemenation of PQMass from Lemos et al. 2024
  ☆15Updated last month
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• Ciela-Institute / tarp
  Coverage tests to check the quality of your posterior estimators.
  ☆30Updated 9 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆128Updated 9 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 4 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆31Updated 4 months ago
• dfm / numpyro-ext
  A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work
  ☆24Updated 4 months ago
• martiningram / jax_advi
  ☆15Updated last month
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 4 years ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆27Updated 2 years ago
• vz415 / lfiax
  ☆11Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 7 months ago
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• deepskies / DeeplyUncertain-Public
  ☆28Updated 2 years ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆182Updated this week
• francois-rozet / dawgz
  Unleash the true power of scheduling
  ☆29Updated 2 months ago
• EddieCunningham / generax
  Generative models with JAX.
  ☆17Updated 5 months ago
• nanograv / PTMCMCSampler
  Parallel tempering MCMC sampler package written in Python
  ☆53Updated 9 months ago