Topic: contextual-bandits Goto Github
Some thing interesting about contextual-bandits
Some thing interesting about contextual-bandits
contextual-bandits,Business Process Improvement with Reinforcement Learning and Human-in-the-Loop.
User: aaronkurz
contextual-bandits,Recommendation using LinUCB algorithm
User: akjayant
contextual-bandits,Experiment results using MAB algorithms in Yahoo! Front Page Today Module User Click Log dataset
User: aldente0630
contextual-bandits,Proof of concept for a recommender system for Yelp, using bandit algorithms.
User: alif898
contextual-bandits,:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:
User: alison-carrera
contextual-bandits,Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
User: alison-carrera
contextual-bandits,A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
Organization: banditml
contextual-bandits,Python implementations of contextual bandits algorithms
User: david-cortes
Home Page: http://contextual-bandits.readthedocs.io
contextual-bandits,Code for our ICDMW 2018 paper: "Contextual Bandit with Adaptive Feature Extraction".
User: doerlbh
contextual-bandits,Code for our AJCAI 2020 paper: "Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward".
User: doerlbh
contextual-bandits,Code for our PRICAI 2022 paper: "Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior".
User: doerlbh
contextual-bandits,Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
User: doerlbh
contextual-bandits,[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
Organization: fidelity
Home Page: https://fidelity.github.io/mabwiser/
contextual-bandits,Awesome list about anything bandit problems
User: g0ulash
contextual-bandits, implement basic and contextual MAB algorithms for recommendation system
User: heewon-hailey
contextual-bandits,Code to trade the financial markets using Contextual Bandits
User: hsm207
contextual-bandits,Easily Score & Rank JSON-Encodable Objects with ML
Organization: improve-ai
Home Page: https://improve.ai
contextual-bandits,Contextual Multi-Armed Bandit Platform for Scoring, Ranking & Decisions
Organization: improve-ai
Home Page: https://improve.ai
contextual-bandits,Easily Score & Rank Codable Objects with ML
Organization: improve-ai
Home Page: https://improve.ai
contextual-bandits,Contextual Multi-Armed Bandit Reward Tracker & Model Trainer
Organization: improve-ai
Home Page: https://improve.ai
contextual-bandits,🐈⬛ Contextual bandits library for continuous action trees with smoothing in JAX
Organization: instadeepai
Home Page: https://catx.readthedocs.io/en/main/
contextual-bandits,Reduction-based machine learning framework with a focus on contextual bandits
User: jackgerrits
Home Page: https://reductionml.readthedocs.io
contextual-bandits,Multi-objective Stochastic Linear Bandits
User: jicheng9617
contextual-bandits,Implementation of provably Rawlsian fair ML algorithms for contextual bandits.
User: jtcho
contextual-bandits,Official Implementation of On Optimal Private Online Stochastic Optimization and High Dimensional Decision Making
User: liangzp
contextual-bandits,Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)
Organization: lil-lab
Home Page: https://www.dipendramisra.com/papers/mla-emnlp.2017.pdf
contextual-bandits,This project aims to implement those algorithms from different papers related to online learning
User: lzt68
contextual-bandits,The Contextual Meta-Bandit (CMB) can be used to select models using the context with online learning based on Reiforcement Learning problem. It's can be used for recommender system ensemble, A/B test, and other dynamic model selector problem.
User: marlesson
contextual-bandits,Privacy-Preserving Bandits (MLSys'20)
User: mmalekzadeh
Home Page: https://proceedings.mlsys.org/paper/2020/hash/42a0e188f5033bc65bf8d78622277c4e-Abstract.html
contextual-bandits,LinUCB with disjoint linear models
User: murtazali05
contextual-bandits,This repository aims at learning most popular MAB and CMAB algorithms and watch how they run. It is interesting for those wishing to start learning these topics.
User: ngutowski
contextual-bandits,Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Organization: nth-iteration-labs
Home Page: https://nth-iteration-labs.github.io/contextual/
contextual-bandits,Client that handles the administration of StreamingBandit online, or straight from your desktop. Setup and run streaming (contextual) bandit experiments in your browser.
Organization: nth-iteration-labs
Home Page: https://github.com/Nth-iteration-labs/streamingbandit
contextual-bandits,Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
User: pemami4911
Home Page: https://arxiv.org/abs/1805.07010
contextual-bandits,WIP: A library and AWS sdk for non-contextual and contextual Multi-Armed-Bandit (MAB) algorithms for multiple use cases
User: pm3310
contextual-bandits,Bandits codes contributed by Louie Hoang at MSR.
User: radsn23
contextual-bandits,Study of the paper 'Neural Thompson Sampling' published in October 2020
User: ronyabecidan
contextual-bandits,Experiments for paper "Online Learning with Costly Features in Non-stationary Environments"
User: saeedghoorchian
contextual-bandits,Code for the paper "Truncated LinUCB for Stochastic Linear Bandits"
User: simonzhou86
contextual-bandits,Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
User: sparsh-ai
contextual-bandits,Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
Organization: st-tech
contextual-bandits,Source code for the numerical experiments presented in the paper "On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks".
User: sukiboo
contextual-bandits,TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Organization: tensorflow
contextual-bandits,Code of the NeuralBandit paper
User: theamazingelys
Home Page: https://hal.archives-ouvertes.fr/hal-01117311/document
contextual-bandits,lightweight contextual bandit library for ts/js
Organization: thoughtworks
Home Page: https://thoughtworks.github.io/simplebandit/
contextual-bandits,Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire
User: thunfischtoast
contextual-bandits,OCaml bindings to vowpal wabbit
User: travisbrady
contextual-bandits,Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
User: twkillian
contextual-bandits,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Organization: vowpalwabbit
Home Page: https://vowpalwabbit.org
contextual-bandits,Contextual multi-armed bandit recommender system using Vowpal Wabbit
User: zaid-g
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