rmi VS machine_learning_basics

Compare rmi vs machine_learning_basics and see what are their differences.

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rmi machine_learning_basics
1 5
51 4,134
- -
0.0 0.0
almost 3 years ago about 1 year 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 machine_learning_basics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-29.
  • Bayesian linear regression in (plain) Python
    2 projects | /r/Python | 29 Jan 2021
    A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.
    2 projects | /r/Python | 29 Jan 2021

What are some alternatives?

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

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

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)

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

google-research - Google Research

fastai - The fastai deep learning library

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

mango - Parallel Hyperparameter Tuning in Python

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

RadixSpline - A Single-Pass Learned Index

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: