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Nth-iteration-labs

Popular repositories

  1. streamingbandit streamingbandit Public

    Python application to setup and run streaming (contextual) bandit experiments.

    Python 79 17

  2. contextual contextual Public

    Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

    R 79 26

  3. streamingbandit-ui streamingbandit-ui Public

    Client that handles the administration of StreamingBandit online, or straight from your desktop. Setup and run streaming (contextual) bandit experiments in your browser.

    JavaScript 8 3

  4. ofmlr ofmlr Public

    R package for fitting online mixtures of logistic regression models.

    R 4

  5. ssev ssev Public

    [R] package for the computation of optimal sample sizes in the sense that these maximize the expected reward of a two-stage design for a finite population.

    R 2

  6. emcite emcite Public

    code for Batch Mode Active Learning for Individual Treatment Effect Estimation

    R 2

Repositories

Showing 10 of 11 repositories
  • streamingbandit Public

    Python application to setup and run streaming (contextual) bandit experiments.

    Python 79 MIT 17 3 1 Updated Mar 31, 2023
  • emcite Public

    code for Batch Mode Active Learning for Individual Treatment Effect Estimation

    R 2 0 0 0 Updated Jan 29, 2023
  • streamingbandit-ui Public

    Client that handles the administration of StreamingBandit online, or straight from your desktop. Setup and run streaming (contextual) bandit experiments in your browser.

    JavaScript 8 3 1 23 Updated Dec 7, 2022
  • ofmlr Public

    R package for fitting online mixtures of logistic regression models.

    R 4 0 0 0 Updated Sep 23, 2020
  • Python 0 GPL-3.0 0 0 0 Updated Aug 13, 2020
  • offline-evaluation-continuous-bandits Public

    Code for the offline evaluation of continuous armed bandit policies

    R 0 GPL-3.0 0 0 0 Updated Jul 29, 2020
  • contextual Public

    Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

    R 79 26 4 0 Updated Jul 25, 2020
  • dependent-observations Public

    Code for "Exploiting nested data structures in multi-armed bandits" paper (submitted to PLOS One)

    R 0 0 0 0 Updated May 20, 2020
  • ssev Public

    [R] package for the computation of optimal sample sizes in the sense that these maximize the expected reward of a two-stage design for a finite population.

    R 2 0 0 0 Updated Jan 18, 2019
  • offline_bandit_R Public

    R-package for evaluation of bandit policies

    1 0 0 0 Updated Sep 27, 2017

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