Alternatives and similar repositories for optimal-scoring

Users that are interested in optimal-scoring are comparing it to the libraries listed below

• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆75Updated 2 weeks ago
• rethinkpriorities / squigglepy
  Squiggle programming language for intuitive probabilistic estimation features in Python
  ☆77Updated 2 months ago
• oughtinc / ergo
  A Python library for integrating model-based and judgmental forecasting
  ☆107Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 11 months ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆36Updated 2 months ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• deepppl / stan-num-pyro
  Python interface for the Stan to (Num)Pyro compiler.
  ☆13Updated 3 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆66Updated 4 months ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 8 months ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated 8 months ago
• stan-dev / stanc3
  The Stan transpiler (from Stan to C++ and beyond).
  ☆147Updated this week
• vluzko / manifoldpy
  Python tools for working with Manifold Markets
  ☆35Updated this week
• mgorinova / SlicStan
  A Stan-like probabilistic programming language.
  ☆68Updated 4 years ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆39Updated last week
• bob-carpenter / stan-getting-started
  A quarto notebook introducing Stan in Python (and maybe R).
  ☆27Updated last year
• posterior / treecat
  A Bayesian latent tree model of high-dimensional heterogeneous data
  ☆23Updated 7 years ago
• niplav / iqisa
  ☆9Updated last year
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• LuZhangstat / Pathfinder
  ☆23Updated 2 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 7 months ago
• pymc-devs / symbolic-pymc
  Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
  ☆62Updated last year
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆38Updated last month
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• deepppl / stanc3
  Rewriting the Stan compiler in OCaml
  ☆22Updated 3 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago