Delightful JavaScript Testing.
Chai (https://chaijs.com) and Jest (https://jestjs.io/) assertions for testing services built with aws
A Julia package for differentiating through expectations with Monte-Carlo estimates
Expectation library with RFC 2119's requirement levels 🚥
✅ "Because tests should be easy to read!" An expectation pattern implementation for Python. Simple, intuitive, readable, and approachable, with ability to plug in to any testing framework that relies on assertions.
A simple and lightweight matching library for XCTest framework.
🖨️ A Node.js Custom Error Library that print error stack without clutter.
Micro-service testing stubs built around Express, Sinon and EventEmitter
Fréchet distribution expected value.
This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems.
The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).
Coursework, homework solutions, and notes for STAT 51600: Basic Probability and Applications (Fall 2025, Purdue University). Topics include probability laws, random variables, discrete and continuous distributions, expectation and variance, multivariate densities, dependence, conditional distributions, covariance and correlation, and the CLT.
Queuing theory is the mathematical study of waiting lines, or queues.
A simple Kotlin implementation of Swift's expectation
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