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一个基于PyTorch的贝叶斯网络框架,支持离散和连续两种数据类型。该框架针对GPU加速和批量操作进行了优化,适用于动态网络结构和多智能体场景,提供了一种灵活且可扩展的方法来学习和推断复杂领域中的概率。
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
《统计学习方法》笔记-基于Python算法实现
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Machine Learning library for the web and Node.