A simple python program that draws a tree for incrementing values using the Collatz Conjecture.

Last update: Oct 28, 2021

Related tags

Machine Learning CollatzConjecture

Overview

Collatz Conjecture

A simple python program that draws a tree for incrementing values using the Collatz Conjecture.

Values which can be edited:

Length of branches
Angle of branches
Colour of the even and odd branches
Background colour
Start Number
Window Height
Window Width
Whether the branch will be created in a fix direction (ie. right only) or in a random direction (right or left)

Change the variables in collatz.json

Owner

davidgasinski

GitHub Repository

Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining

**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S

4k Dec 30, 2022

A quick reference guide to the most commonly used patterns and functions in PySpark SQL

Using PySpark we can process data from Hadoop HDFS, AWS S3, and many file systems. PySpark also is used to process real-time data using Streaming and

53 Dec 21, 2022

PROTEIN EXPRESSION ANALYSIS FOR DOWN SYNDROME

PROTEIN-EXPRESSION-ANALYSIS-FOR-DOWN-SYNDROME Down syndrome (DS) is a chromosomal disorder where organisms have an extra chromosome 21, sometimes know

1 Jan 20, 2022

Made in collaboration with Chris George for Art + ML Spring 2019.

Deepdream Eyes Made in collaboration with Chris George for Art + ML Spring 2019.

1 Jan 12, 2022

Multiple Linear Regression using the LinearRegression class from sklearn.linear_model library

Multiple-Linear-Regression-master - A python program to implement Multiple Linear Regression using the LinearRegression class from sklearn.linear model library

1 Feb 06, 2022

Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.

Self Organising Map for Clustering of Atomistic Samples - V2 Description Self Organising Map (also known as Kohonen Network) implemented in Python for

0 Nov 16, 2021

The Fuzzy Labs guide to the universe of open source MLOps

Open Source MLOps This is the Fuzzy Labs guide to the universe of free and open source MLOps tools. Contents What is MLOps, anyway? Data version contr

352 Dec 29, 2022

Metric learning algorithms in Python

metric-learn: Metric Learning in Python metric-learn contains efficient Python implementations of several popular supervised and weakly-supervised met

1.3k Dec 28, 2022

Simple, light-weight config handling through python data classes with to/from JSON serialization/deserialization.

Simple but maybe too simple config management through python data classes. We use it for machine learning.

67 Nov 29, 2022

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo

354 Dec 31, 2022

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing

239 Nov 10, 2022

This is an auto-ML tool specialized in detecting of outliers

Auto-ML tool specialized in detecting of outliers Description This tool will allows you, with a Dash visualization, to compare 10 models of machine le

1 Nov 03, 2021

Machine learning template for projects based on sklearn library.

17 Oct 28, 2022

Predict the output which should give a fair idea about the chances of admission for a student for a particular university

Predict the output which should give a fair idea about the chances of admission for a student for a particular university.

1 Jan 11, 2022

A simple python program that draws a tree for incrementing values using the Collatz Conjecture.

Related tags

Overview

Collatz Conjecture

Values which can be edited:

Owner

davidgasinski

Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining

A quick reference guide to the most commonly used patterns and functions in PySpark SQL

PROTEIN EXPRESSION ANALYSIS FOR DOWN SYNDROME

Made in collaboration with Chris George for Art + ML Spring 2019.

Multiple Linear Regression using the LinearRegression class from sklearn.linear_model library

Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.

The Fuzzy Labs guide to the universe of open source MLOps

Metric learning algorithms in Python

Simple, light-weight config handling through python data classes with to/from JSON serialization/deserialization.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

This is an auto-ML tool specialized in detecting of outliers

Machine learning template for projects based on sklearn library.

Predict the output which should give a fair idea about the chances of admission for a student for a particular university

A Streamlit demo to interactively visualize Uber pickups in New York City

Tools for diffing and merging of Jupyter notebooks.

A Multipurpose Library for Synthetic Time Series Generation in Python

A simple and lightweight genetic algorithm for optimization of any machine learning model

A data preprocessing package for time series data. Design for machine learning and deep learning.

Code base of KU AIRS: SPARK Autonomous Vehicle Team