rmi VS RadixSpline

Compare rmi vs RadixSpline and see what are their differences.


A learned index structure (by BenJoyenConseil)


A Single-Pass Learned Index (by learnedsystems)
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rmi RadixSpline
1 3
51 114
- 1.8%
0.0 0.0
almost 3 years ago 8 months ago
Jupyter Notebook C++
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 RadixSpline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-26.

What are some alternatives?

When comparing rmi and RadixSpline you can also consider the following projects:

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)

google-research - Google Research

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

fastai - The fastai deep learning library

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

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

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:

SOSD - A Benchmark for Learned Indexes

machine_learning_basics - Plain python implementations of basic machine learning algorithms

PGM-index - 🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes

la_vector - 🔶 Compressed bitvector/container supporting efficient random access and rank queries