Top 58 probability open source projects

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

Generate realizations of stochastic processes in python.

Mathematical finance cheat sheet.

Quantitative Interview Preparation Guide, updated version here ==>

📙 The probability and statistics cookbook

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Probabilistic deep learning for data streams.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Probabilistic Programming and Statistical Inference in PyTorch

Verified hash-based AMQ structures in Coq

The basic distribution probability Tutorial for Deep Learning Researchers

Diffusive Nested Sampling

Courses, Articles and many more which can help beginners or professionals.

📈 Regression and Classification with UC Davis student quiz data and exam data

Algorithm is a library of tools that is used to create intelligent applications.

📖 [译] 面向数据科学的概率论

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

Teaching Materials for Dr. Waleed A. Yousef

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

A C++ header-only library of statistical distribution functions.

To know stats by heart

Probability bounds analysis in Julia

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

📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.

[Coursera] Introduction to Discrete Mathematics for Computer Science Specialization

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

List of Data Science and Machine Learning Resource that I frequently use

This repository contains notes and projects of Data scientist track from dataquest course work.

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

Fast & numerically stable statistical analysis

Probability bonus for daily rewards Unity

Xor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.

Quick definitions and intuitive explanations around machine learning.

Yet another markov chain sentence generator

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

Penney's Game

Coq library for reasoning on randomized algorithms [maintainers=@anton-trunov,@volodeyka]

Using Computer with your Statistics Major Course

📊 Methods of Applied Statistics Course Textbook Repository

Markov Chains and Hidden Markov Models in Python

Actuarial functions and heavy tailed distributions for R

A free, open-source inference and learning library for Sum-Product Networks (SPN)

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Learn mathematics behind machine learning and explore different mathematics in machine learning.

Tools for an Aesara-based PPL.

Fluent Random Picker is a nice, performant, fluent way to pick random values. Probabilities can be specified, values can be weighted.

Code and Notes for fat-tailed statistics.

📃Language Model based sentences scoring library