RichardOkubo

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Language:PythonMIT694100

automata

A Python library for simulating finite automata, pushdown automata, and Turing machines

Language:PythonMIT33000

react-atomic-design

🔬 How the Atomic Design methodology can create a great design system from scratch and make better developers.

Language:JavaScript175500

atomic-design

The repository for the Atomic Design book

Language:SCSS122800

cypress-cucumber-preprocessor

Run cucumber/gherkin-syntaxed specs with Cypress

Language:TypeScriptMIT130900

fastapi-do-zero

Curso básico de FastAPI

Language:Python58700

stumpwm

The Stump Window Manager

Language:Common LispGPL-2.0189100

gherkin-c

[READ-ONLY] Gherkin for C - subtree of monorepo https://github.com/cucumber/cucumber -- moved to https://github.com/cucumber/gherkin

Language:CMIT1000

karate

Test Automation Made Simple

Language:JavaMIT803500

heimdall

An easy way to orchestrate your Api's

Language:JavaApache-2.02300

TorXakis

A tool for Model Based Testing

Language:HaskellBSD-3-Clause4700

AALpy

An Automata Learning Library Written in Python

Language:PythonNOASSERTION15700

Generating-Synthetic-Data-using-GANs

Generating Tabular Synthetic Data using State of the Art GAN architecture

Language:Jupyter Notebook7300

openapi-generator

OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

Language:JavaApache-2.02092200