Alternatives and similar repositories for abile:

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

• martiningram / paired-comparison-gp-laplace
  Paired comparison model using Gaussian Process prior
  ☆13Updated 6 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆70Updated this week
• fonnesbeck / hierarchical_models_sports_analytics
  Developing Hierarchical Models for Sports Analytics
  ☆18Updated 3 weeks ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆34Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆58Updated this week
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 years ago
• bayesianops / ssac24
  Bayesian modeling workshop at MIT SSAC 2024. March 2, 2024
  ☆27Updated last year
• cran / PlayerRatings
   This is a read-only mirror of the CRAN R package repository. PlayerRatings — Dynamic Updating Methods for Player Ratings Estimation
  ☆9Updated 5 years ago
• EvanZ / bayesian-meta-mock
  ☆12Updated 4 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆31Updated last month
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 3 months ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆30Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• ML-KULeuven / soccermix
  SoccerMix is a soft clustering technique based on mixture models that decomposes event stream data into a number of prototypical actions …
  ☆40Updated 4 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆200Updated 2 months ago
• ML-KULeuven / ETSY
  Synchronize soccer event and tracking data
  ☆34Updated 9 months ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆19Updated 10 months ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated last year
• mjhajharia / pydata21
  Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC
  ☆26Updated 3 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆82Updated 2 weeks ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆48Updated 2 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 4 months ago
• EvanZ / ppl-pm
  Using probabilistic programming to infer player ratings from matchup data.
  ☆13Updated 4 years ago