Alternatives and similar repositories for bandits

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

• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• canyon289 / ssm_book_club
  ☆17Updated 2 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last month
• probml / sts-jax
  Structural Time Series in JAX
  ☆199Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 7 months ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆85Updated 5 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 4 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆44Updated 4 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆62Updated 2 years ago
• omarfsosa / tech-talk-hierarchical-models
  ☆41Updated 3 years ago
• facebookresearch / pplbench
  Evaluation Framework for Probabilistic Programming Languages
  ☆101Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated last month
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆38Updated this week
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 4 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 2 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆54Updated last month
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year