machine_learning_basics VS rmi

Compare machine_learning_basics vs rmi and see what are their differences.

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

A learned index structure (by BenJoyenConseil)
Database Index Machine Learning linear-regression learned-index rmi
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machine_learning_basics rmi
5 1
4,205 52
- -
0.0 0.0
3 months ago over 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

rmi

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

What are some alternatives?

When comparing machine_learning_basics and rmi 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

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

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

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.

google-research - Google Research

mango - Parallel Hyperparameter Tuning in Python

trulens - Evaluation and Tracking for LLM Experiments

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

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

fastai - The fastai deep learning library

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