M. 贝耶勒(2017)。OpenCV的机器学习:利用Python进行智能图像处理。帕克特出版社,ISBN 978-178398028-4。
bayesian-learning 开源项目推荐(35 个)
bayesian-learning 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 35 个仓库A collection of Methods and Models for various architectures of Artificial Neural Networks
Project of IEEE/ACM TASLP “Bayesian Neural Network Language Modeling for Speech Recognition”
Comparison of Several Bayesian Regression Techniques and Gaussian Processes
This is the code for post-processing the shallow shadow tomography data and doing error mitigation on the noisy hardware.
Repository that contains the projects of the Probabilistic Artificial Intelligence class offered in Fall 2021 at ETH Zurich
Colorectal cancer risk mapping through Bayesian Networks
Application of OPAL (Occam Plausibility Algorithm) based Bayesian learning to SEIRD model of COVID-19 disease spread in Texas
Research code for continual multilingual ASR and code-switching speech recognition with Whisper, Qwen2-Audio, LoRA, Bayesian low-rank factorization, and weight centralization.
Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning
Exercises for the "Data Analytics" course, University of Bologna (2021/2022)
Learning parameters for a bayesian network based on health records data -Assignment 4 (Artificial Intelligence: COL333)
computational modelling for restless bandit behavioural data (thalamotomy oedema work)
Control architecture for an agent that perceives, plans, learns, and acts in a 3D MMORPG. Evolved from a monolith through reactive rules, state machines, and utility scoring to GOAP planning. JPS/A* pathfinding, DDA line-of-sight, Bayesian adaptation. Pure Python 3.14 (free-threaded), zero dependencies.
A fork of a Bayesian learning and inference for state space models library, created due to some dependencies mismatching and for posterity because it's used in a private Colab notebook.
My PDF solutions to our courseworks for the 2024-2025 year
Implementation of FOD-learn (fully observed data), Expectation Maximisation(Partially Observed Data) and Latent Variable Learning in Bayesian Network
A textbook that develops Bayesian reasoning, statistical learning and deep learning as one probabilistic framework, from Bayes' rule and decision theory to neural networks, transformers and AI agents, with code in R and Python.
Researching policy-induced observability in recommender systems: when serving policies create self-confirming preference models, and when exploration is worth the cost.
Making use of bayesian learning, three common applications are developed.
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/bayesian-learning。
- 该话题在 GitHub 上共有 35 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 910 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 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。