pgmpy VS Lottery-Simulation

Compare pgmpy vs Lottery-Simulation and see what are their differences.

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks. (by pgmpy)

Lottery-Simulation

This program can simulate a number of drawings in the Lottery (6 out of 49). The guesses and the draws are chosen randomly and the user can choose how many right guesses there should be (0-6). Then the program will run through the simulation as many times as it takes to get the exact number of correct guesses the user chose. The user can also choose how many times this should be repeated (the higher the number, the more accurate the result will be). Then the program will automatically calculate the average number of tries it took to get the chosen number of correct guesses and tell the user the chance of getting this certain number of correct guesses. (by jeremyssocial)
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pgmpy Lottery-Simulation
2 1
2,617 1
1.4% -
8.0 2.6
6 days ago over 3 years ago
Python Python
MIT License The Unlicense
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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pgmpy

Posts with mentions or reviews of pgmpy. We have used some of these posts to build our list of alternatives and similar projects.

Lottery-Simulation

Posts with mentions or reviews of Lottery-Simulation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pgmpy and Lottery-Simulation you can also consider the following projects:

causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.

Push-the-Box - a small game made in python, using tkinter, for a school project

statsmodels - Statsmodels: statistical modeling and econometrics in Python

fapro - Fake Protocol Server

scikit-learn - scikit-learn: machine learning in Python

OpenWorm - Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues

CausalPy - A Python package for causal inference in quasi-experimental settings

mesa - Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

rustworkx - A high performance Python graph library implemented in Rust.

unknown-horizons - Unknown Horizons official code repository

pyhf - pure-Python HistFactory implementation with tensors and autodiff

Blender-FLIP-Fluids - The FLIP Fluids addon is a tool that helps you set up, run, and render high quality liquid fluid effects all within Blender, the free and open source 3D creation suite.