rmi VS ML-For-Beginners

Compare rmi vs ML-For-Beginners and see what are their differences.

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rmi ML-For-Beginners
1 28
52 67,111
- 2.6%
0.0 7.6
over 3 years ago 6 days ago
Jupyter Notebook HTML
Apache License 2.0 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.

rmi

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

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.

What are some alternatives?

When comparing rmi and ML-For-Beginners you can also consider the following projects:

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

google-research - Google Research

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

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.

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

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

fastai - The fastai deep learning library

pyVHR - Python framework for Virtual Heart Rate

RadixSpline - A Single-Pass Learned Index

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]