Alternatives and similar repositories for covadapt

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

• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 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
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 6 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆54Updated last month
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• sods / ods
  Open Data Science
  ☆33Updated 7 months ago
• matt-graham / continuously-tempered-hmc
  Continuously tempered Hamiltonian Monte Carlo
  ☆11Updated 8 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆19Updated last month
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆31Updated 2 years ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 4 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated this week
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 4 months ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆73Updated 2 weeks ago
• pymc-devs / pymc4_prototypes
  Experimental code for porting PyMC to alternative backends
  ☆26Updated 7 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆57Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆64Updated 9 months ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆62Updated 6 months ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 6 months ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated this week