Lottery-Simulation VS pgmpy

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

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)

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks. (by pgmpy)
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Lottery-Simulation pgmpy
1 2
1 2,624
- 1.0%
2.6 8.0
over 3 years ago 13 days ago
Python Python
The Unlicense MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

pgmpy

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

What are some alternatives?

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

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

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

fapro - Fake Protocol Server

statsmodels - Statsmodels: statistical modeling and econometrics in Python

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

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

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

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

unknown-horizons - Unknown Horizons official code repository

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

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.

pyhf - pure-Python HistFactory implementation with tensors and autodiff