rmi VS machine_learning_basics

Compare rmi vs machine_learning_basics and see what are their differences.

rmi

A learned index structure (by BenJoyenConseil)
Database Index Machine Learning linear-regression learned-index rmi
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machine_learning_basics

Plain python implementations of basic machine learning algorithms (by zotroneneis)
Machine Learning logistic-regression ipynb machine-learning-algorithms linear-regression perceptron python-implementations kmeans Algorithm Python3 Python neural-network k-nearest-neighbours k-nearest-neighbor k-nn neural-networks
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rmi machine_learning_basics
1 5
52 4,211
- -
0.0 0.0
over 3 years ago 3 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.

rmi

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

machine_learning_basics

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.

What are some alternatives?

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

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

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

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

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

mango - Parallel Hyperparameter Tuning in Python

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

trulens - Evaluation and Tracking for LLM Experiments

fastai - The fastai deep learning library

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

rmi vs ML-For-Beginners machine_learning_basics vs Financial-Models-Numerical-Methods rmi vs TensorFlow-Examples machine_learning_basics vs 100-Days-Of-ML-Code rmi vs google-research machine_learning_basics vs borb-google-colab-examples rmi vs Financial-Models-Numerical-Methods machine_learning_basics vs mango rmi vs homemade-machine-learning machine_learning_basics vs trulens rmi vs fastai machine_learning_basics vs PyImpetus