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thompson-sampling 开源项目推荐(252 个)
thompson-sampling 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 252 个仓库Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
多臂老虎机算法库(MAB)
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Bayesian decision analysis in Python, from Bayes's theorem to Bayesian bandits: a self-study tutorial with notebooks that run on Colab
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
Thompson Sampling Tutorial
Python library for Multi-Armed Bandits
All codes, both created and optimized for best results from the SuperDataScience Course
Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
ThumbGate Pre-Action Checks self-improve from ranked lessons and repeated failures, hard-block detected secret leaks, and block matches in strict mode.
Bandit algorithms
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Study of the paper 'Neural Thompson Sampling' published in October 2020
The official code release for "Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning", ICLR 2025
Offline evaluation of multi-armed bandit algorithms
Bayesian Optimization for Categorical and Continuous Inputs
用于提供多臂老虎机实验的 Julia 包
用 Python 和 R 创建、修改和优化的机器学习算法代码与模板
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/thompson-sampling。
- 该话题在 GitHub 上共有 252 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1696 Star,覆盖 6 种主要语言,数据更新于 2026-11-13。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。