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sail-sg / oat

🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.

thompson-sampling alignment reasoning distributed-training ppo dueling-bandits dpo distributed-rl llm online-rl rlhf llm-aligment online-alignment llm-exploration grpo r1-zero

Updated Jan 29, 2026
Python

alison-carrera / onn

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Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

reinforcement-learning neural-network pytorch thompson-sampling reinforcement-learning-algorithms machine-learning-library neural-architecture-search contextual-bandits mab pytorch-implemention multiarmed-bandits pytorch-implementation thompson-algorithm

Updated Apr 13, 2026
Python

alison-carrera / mabalgs

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👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

arm algorithm reinforcement-learning simulation monte-carlo rank thompson-sampling reinforcement-learning-algorithms ucb reward multi-armed-bandit montecarlo-simulation contextual-bandits ranking-algorithm mab ranked-mab

Updated Apr 13, 2026
Python

Francis1998 / nexus-llm-router

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Drop-in LLM router and AI gateway for OpenAI Chat Completions, Responses and Anthropic Messages APIs: 125 routing strategies (incl. feedback-aware Thompson sampling) across GPT-6, Claude Opus 5.5 / Fable 5.2, Gemini 4 and Kimi K3.1, a request feedback API, budgets, fallbacks, tenant rate limits, idempotency and audit logs.

Updated Nov 13, 2026
Python

Eric-Bradford / TS-EMO

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This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

machine-learning matlab thompson-sampling multi-objective-optimization genetic-algorithms black-box-optimization gaussian-processes bayesian-optimization kriging expensive-to-evaluate-functions surrogate-based-optimization spectral-sampling

Updated Jun 19, 2020
MATLAB

AllenDowney / BayesianDecisionAnalysis

Sponsor

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Bayesian decision analysis in Python, from Bayes's theorem to Bayesian bandits: a self-study tutorial with notebooks that run on Colab

python tutorial workshop thompson-sampling bayesian-statistics decision-analysis jupyter-book

Updated Oct 21, 2026
Jupyter Notebook

stitchfix / mab

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Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.

go golang data-science reinforcement-learning thompson-sampling experimentation multi-armed-bandits multi-armed-bandit thompson multiarmed-bandits

Updated Nov 12, 2026
Go

andrecianflone / thompson

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Thompson Sampling Tutorial

reinforcement-learning thompson-sampling bandit bandit-algorithm

Updated Jan 25, 2019
Jupyter Notebook

PlaytikaOSS / pybandits

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Python library for Multi-Armed Bandits

reinforcement-learning neural-network personalization thompson-sampling recommendation-system recommender-system multi-armed-bandits multi-armed-bandit bayesian-neural-networks contextual-bandits mab multiarmed-bandits stochastic-bandit-algorithms numpyro stochastic-bandit contextual-bandit-algorithms neural-linear offline-policy-evaluation

Updated Nov 3, 2026
Python

farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates

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All codes, both created and optimized for best results from the SuperDataScience Course

natural-language-processing reinforcement-learning deep-learning clustering cross-validation naive-bayes-classifier thompson-sampling neural-networks classification dimensionality-reduction grid-search principal-component-analysis clustering-algorithm upper-confidence-bounds k-fold xgboost-algorithm association-rule-learning machine-learning-az

Updated Nov 5, 2017
Python

kalibr-ai / kalibr-sdk-python

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Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.

Updated Jun 3, 2026
Python

Nikronic / Machine-Learning-Models

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In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Updated Nov 7, 2021
Python

IgorGanapolsky / ThumbGate

Sponsor

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ThumbGate Pre-Action Checks self-improve from ranked lessons and repeated failures, hard-block detected secret leaks, and block matches in strict mode.