SuperStyl VS 100-Days-Of-ML-Code

Compare SuperStyl vs 100-Days-Of-ML-Code and see what are their differences.

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SuperStyl 100-Days-Of-ML-Code
2 4
20 43,436
- -
9.0 0.0
8 days ago 5 months ago
Python
GNU General Public License v3.0 only MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SuperStyl

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

100-Days-Of-ML-Code

Posts with mentions or reviews of 100-Days-Of-ML-Code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing SuperStyl and 100-Days-Of-ML-Code you can also consider the following projects:

JGAAP - The Java Graphical Authorship Attribution Program

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

svm-pytorch - Linear SVM with PyTorch

Data-science-best-resources - Carefully curated resource links for data science in one place

dzetsaka - dzetsaka : classification plugin for Qgis

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

scattertext - Beautiful visualizations of how language differs among document types.

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects

awesome-python-data-science - Probably the best curated list of data science software in Python.