probability-theory 开源项目推荐（313 个）

unpingco /Python-for-Probability-Statistics-and-Machine-Learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

sjchoi86 /bayes-nn

Lecture notes on Bayesian deep learning

wiseaidev /rust-data-analysis

Rust for data analysis encyclopedia (WIP).

TuringLang /DynamicPPL.jl

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

Yoget /Tongji-University-Advanced-Mathematics

考研数学同济高等数学第七版线性代数浙大概率论

Pegah-Ardehkhani /Statistics-and-Probability-in-Python

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

fifthist /Introduction-To-Probability-Blitzstein-Solutions

Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.

DataForScience /Probability

Applied Probability Theory for Everyone

astralord /RandLib

🚀 A library designed to facilitate work with probability, statistics and stochastic calculus

jekyllstein /Reinforcement-Learning-Sutton-Barto-Exercise-Solutions

Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto

weijie-chen /Probability_Theory

A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.

alex-sokolov2011 /ds_interview_prep_resources

Comprehensive resources for data science interview preparation in Russian: assignments, math problems, logic tasks, live coding examples, and leetcode breakdowns.

MattWillFlood /EntropyHub.jl

An open-source toolkit for entropic data analysis

RobotMa /axxb_calibration

A Comprehensive AX = XB Calibration Solvers in Matlab

worthant /Higher-Mathematics

📔 This repository is for storing my Higher Mathematics learning journey

AbdeltwabMF /anthology-of-algorithms-and-data-structures

Common Code for Competitive Programming in C++

DALEE9000 /Solutions-to-Introductory-Probability-and-Statistical-Applications-2nd-ed.-Paul-L.-Meyer

My solutions to Paul L. Meyer's "Introductory Probability and Statistical Applications, 2nd ed.", ISBN 0-201-04710-1.

Eryc123Y /Math-for-Computer-Science

A math resource for CS student (I have decided to refactor the contents to my personal blog and continue working on this, so the project is archived)

alexanderknop /I2DM

The lecture notes for my discrete mathematics classes.

markkm /math-for-ml

Mathematical preliminaries for machine learning