ML-For-Beginners VS awesome-machine-learning

Compare ML-For-Beginners vs awesome-machine-learning and see what are their differences.

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ML-For-Beginners awesome-machine-learning
28 12
66,908 63,555
3.5% -
7.6 7.6
20 days ago 6 days ago
HTML Python
MIT License GNU General Public License v3.0 or later
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.

ML-For-Beginners

Posts with mentions or reviews of ML-For-Beginners. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

awesome-machine-learning

Posts with mentions or reviews of awesome-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

What are some alternatives?

When comparing ML-For-Beginners and awesome-machine-learning you can also consider the following projects:

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

tails - This is the Tails composer package for Laravel. Easily fetch designs in your Laravel application that you design inside of the Tails Site/Page Builder.

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.

pycaret - An open-source, low-code machine learning library in Python

100-Days-Of-ML-Code - 100 Days of ML Coding

Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!

Machine-Learning-Algorithms - All Machine Learning Algorithms

pyVHR - Python framework for Virtual Heart Rate

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]

Face-Recognition-One-Shot-Learning- - This project is based on Siamese Neural Networks & Triplet Loss Functions