rmi VS homemade-machine-learning

Compare rmi vs homemade-machine-learning and see what are their differences.


A learned index structure (by BenJoyenConseil)


🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained (by trekhleb)
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rmi homemade-machine-learning
1 7
51 22,021
- -
0.0 4.6
almost 3 years ago 5 months ago
Jupyter Notebook Jupyter Notebook
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.


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

We haven't tracked posts mentioning rmi yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of homemade-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-14.

What are some alternatives?

When comparing rmi and homemade-machine-learning you can also consider the following projects:

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

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.

PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

google-research - Google Research

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

fastai - The fastai deep learning library

PythonRobotics - Python sample codes for robotics algorithms.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

hdbscan - A high performance implementation of HDBSCAN clustering.